Looking for developers willing to make this dynamic recipe module for people who care for children, including parents! Who's interested? contact me: samantha@minutemenu.com
Google Glass is a wearable computer with an optical head-mounted display developed by Google. It looks like a pair of eyeglasses but has an interactive display and supports voice commands. Google Glass runs on Android and connects to smartphones via Bluetooth and WiFi. It allows users to access information by using voice commands to take photos, get directions, search the internet, and more.
Automatic Attendance system using Facial RecognitionNikyaa7
It is a boimetric based App,which is gradually evolving in the universal boimetric solution with a virtually zero effort from the user end when compared with other boimetric options.
This document discusses fingerprint recognition using neural networks. It begins with an overview of fingerprints and their unique patterns. It then describes the components of a pattern recognition system for fingerprints, including image acquisition, edge detection, thinning, feature extraction, and classification. Neural networks are proposed for fingerprint recognition because they can learn from examples and process large amounts of data quickly. Other applications of neural networks discussed include character recognition, image compression, stock market prediction, and more. The document concludes by noting that fingerprints will continue to be a reliable biometric for human identification.
A technical seminar delivered on Machine learning in cybersecurity. Machine learning is trending and desired subject this presentation demonstrates how machine learning can be used to protect IT infrastructure
PR-207: YOLOv3: An Incremental ImprovementJinwon Lee
YOLOv3 makes the following incremental improvements over previous versions of YOLO:
1. It predicts bounding boxes at three different scales to detect objects more accurately at a variety of sizes.
2. It uses Darknet-53 as its feature extractor, which provides better performance than ResNet while being faster to evaluate.
3. It predicts more bounding boxes overall (over 10,000) to detect objects more precisely, as compared to YOLOv2 which predicts around 800 boxes.
Google Glass is the first mainstream augmented reality wearable eye display conceptualized by a large company. It has been promoted through a viral marketing campaign including a video that has been viewed over 18 million times. While Google Glass is framed as the brainchild of Google co-founder Sergey Brin, this paper argues that its popularity could instigate adoption of wearable eye displays as a new paradigm for human-computer interaction. The paper speculates that discussion of Google Glass draws on concepts from popular culture like Batman to promote its adoption.
This ppt contains the matter on yii framework.
introduction to yii framework
history behind this yii framework
developer of yii framework
technologies integrated&used in yii framework
how to install yii framework ?,
yii framework features,
performance
license terms
about mudule
MVC design pattern
advantages and disadvantages of yii framework.
yii is pronounced as yee0r ji;,acronym for it is "Yes It Is".
this is the answer for several questions
is it efficient?
is it easy to use?
is it professional?
is it right for my next project?
...
yes it is
yii is a component-based php framework for developing web applications.
it has been built with sophisticated,enterprise applications in mind
This document summarizes a student project using a neural network for character recognition. The project aims to develop software that can recognize English characters by processing input characters, training a neural network algorithm, and modifying the characters. The methodology involves 4 phases - pre-processing the image, segmenting the image into individual characters, extracting features, and performing classification and recognition using an artificial neural network. The literature review summarizes several papers on using neural networks for handwritten character recognition in various languages.
Google Glass is a wearable computer with an optical head-mounted display developed by Google. It looks like a pair of eyeglasses but has an interactive display and supports voice commands. Google Glass runs on Android and connects to smartphones via Bluetooth and WiFi. It allows users to access information by using voice commands to take photos, get directions, search the internet, and more.
Automatic Attendance system using Facial RecognitionNikyaa7
It is a boimetric based App,which is gradually evolving in the universal boimetric solution with a virtually zero effort from the user end when compared with other boimetric options.
This document discusses fingerprint recognition using neural networks. It begins with an overview of fingerprints and their unique patterns. It then describes the components of a pattern recognition system for fingerprints, including image acquisition, edge detection, thinning, feature extraction, and classification. Neural networks are proposed for fingerprint recognition because they can learn from examples and process large amounts of data quickly. Other applications of neural networks discussed include character recognition, image compression, stock market prediction, and more. The document concludes by noting that fingerprints will continue to be a reliable biometric for human identification.
A technical seminar delivered on Machine learning in cybersecurity. Machine learning is trending and desired subject this presentation demonstrates how machine learning can be used to protect IT infrastructure
PR-207: YOLOv3: An Incremental ImprovementJinwon Lee
YOLOv3 makes the following incremental improvements over previous versions of YOLO:
1. It predicts bounding boxes at three different scales to detect objects more accurately at a variety of sizes.
2. It uses Darknet-53 as its feature extractor, which provides better performance than ResNet while being faster to evaluate.
3. It predicts more bounding boxes overall (over 10,000) to detect objects more precisely, as compared to YOLOv2 which predicts around 800 boxes.
Google Glass is the first mainstream augmented reality wearable eye display conceptualized by a large company. It has been promoted through a viral marketing campaign including a video that has been viewed over 18 million times. While Google Glass is framed as the brainchild of Google co-founder Sergey Brin, this paper argues that its popularity could instigate adoption of wearable eye displays as a new paradigm for human-computer interaction. The paper speculates that discussion of Google Glass draws on concepts from popular culture like Batman to promote its adoption.
This ppt contains the matter on yii framework.
introduction to yii framework
history behind this yii framework
developer of yii framework
technologies integrated&used in yii framework
how to install yii framework ?,
yii framework features,
performance
license terms
about mudule
MVC design pattern
advantages and disadvantages of yii framework.
yii is pronounced as yee0r ji;,acronym for it is "Yes It Is".
this is the answer for several questions
is it efficient?
is it easy to use?
is it professional?
is it right for my next project?
...
yes it is
yii is a component-based php framework for developing web applications.
it has been built with sophisticated,enterprise applications in mind
This document summarizes a student project using a neural network for character recognition. The project aims to develop software that can recognize English characters by processing input characters, training a neural network algorithm, and modifying the characters. The methodology involves 4 phases - pre-processing the image, segmenting the image into individual characters, extracting features, and performing classification and recognition using an artificial neural network. The literature review summarizes several papers on using neural networks for handwritten character recognition in various languages.
This document discusses screenless display technology. It describes screenless displays as systems that transmit visual information from a video source without the use of a screen. The document outlines several technologies being used for screenless displays, including interactive projection systems, 3D projection technologies, and retinal display systems. It provides examples of emerging screenless display technologies, such as Google Glass and holographic projections, and discusses how screenless computing may impact fields like lighting, software, and careers for visually impaired individuals.
Object detection is a computer technology related to computer vision and image processing that deals with detecting instances of semantic objects of a certain class (such as humans, buildings, or cars) in digital images and videos. Well-researched domains of object detection include face detection and pedestrian detection. Object detection has applications in many areas of computer vision, including image retrieval and video surveillance.
This document discusses 3D passwords as a new authentication technique that combines existing methods like text passwords, graphical passwords, and biometrics into a single 3D virtual environment. The user interacts with various objects in the virtual world to create their unique 3D password. When logging in, they must recreate the same sequence of interactions. This makes 3D passwords more secure by increasing the number of possible passwords and making them difficult for attackers to guess. The document outlines how a 3D password system would work, including designing the virtual environment, recording the user's interactions as their password, and guidelines for the virtual world design like real-life similarity, unique distinguishable objects, and appropriate size.
A DEEP LEARNING APPROACH TO CLASSIFY DRONES AND BIRDSIRJET Journal
This document presents a deep learning approach to classify drones and birds using images. It proposes using a convolutional neural network (CNN) trained on labeled images of drones and birds. The system would first preprocess images by converting them from RGB to HSV color space and removing noise. It would then extract features using Gabor filters to capture data at different frequencies and orientations. These features would be used to train a CNN for classification. The trained CNN could then classify new images as either drones or birds. This approach aims to address security and safety issues caused by unauthorized drone use near airports by enabling accurate detection and identification of drones versus birds in images.
Customer segmentation is a Project on Machine learning that is developed by using Clustering & clustering is the technique that comes under unsupervised learning of machine learning.
Segmentation allows prospects based on their wants and needs. It allows identifying the most valuable customer segment so the basis of it vender improve their return on marketing investment by only targeting those likely to be your best customer.
The presentation is coverong the convolution neural network (CNN) design.
First,
the main building blocks of CNNs will be introduced. Then we systematically
investigate the impact of a range of recent advances in CNN architectures and
learning methods on the object categorization (ILSVRC) problem. In the
evaluation, the influence of the following choices of the architecture are
tested: non-linearity (ReLU, ELU, maxout, compatibility with batch
normalization), pooling variants (stochastic, max, average, mixed), network
width, classifier design (convolution, fully-connected, SPP), image
pre-processing, and of learning parameters: learning rate, batch size,
cleanliness of the data, etc.
The visualization pipeline consists of 4 main stages: 1) data acquisition, where data is produced or acquired, 2) data enhancement, where data is prepared or preprocessed, 3) visualization mapping, where data is mapped to geometric primitives, and 4) rendering, where geometric data is transformed into images. Common operations at each stage include measurement, filtering, mapping to points and colors, and projection from 3D to 2D. Visualization tools like VTK and VisTrails implement the pipeline to transform data into informative images.
본 논문은 single depth map으로부터의 정확한 3D hand pose estimation을 목표로 한다. 3D hand pose estimation은 HCI, AR등의 기술을 구현함에 있어서 매우 중요한 기술이다. 이를 위해 많은 연구자들이 정확도를 높이기 위해 여러 방법을 제시하였지만, 여전히 손가락들의 비슷한 생김새, 가려짐, 다양한 손가락의 움직임으로 인한 복잡성 때문에 정확도를 올리는데 한계가 있었다. 본 논문은 기존 방법들의 한계를 극복하기 위해 기존 방법들이 사용하는 입력 형태와 출력 형태를 바꾸었다. 2d depth image를 입력으로 받아 hand joint의 3D coordinate를 직접 regress하는 대부분의 기존 방법들과는 달리, 제안하는 모델은 3D voxelized depth map을 입력으로 받아 3D heatmap을 출력한다. 이를 위해 encoder-decoder 형식의 3D CNN을 사용하였고, 달라진 입력과 출력 형태로 인해 제안하는 모델은 널리 사용되는 3개의 3d hand pose estimation dataset, 1개의 3d human pose estimation dataset에서 가장 높은 성능을 내었다. 또한 ICCV 2017에서 주최된 HANDS 2017 challenge에서 우승 하였다.
Indoor Tracking System. Detailed information and comparision between two efficient systems, RFID based and WIFI based. Made it referring two institutional research papers. ONLY FOR EDUCATIONAL PURPOSES! Never implemented! :P
This document summarizes deep learning based object detection. It describes popular datasets like PASCAL VOC, COCO, and others that are used for training and evaluating object detection models. It also explains different types of object detection models including two-stage detectors like R-CNN, Fast R-CNN, Faster R-CNN, Mask R-CNN and one-stage detectors like YOLO, YOLO v2, YOLO v3, SSD, and DSSD. It discusses the methodology and improvements of these models and concludes that while detecting all objects is an endless task, improved targeted detection is already possible and will continue to progress.
Google Glass is an augmented reality smart glasses project developed by Google. It displays information in a smartphone-like interface located in the user's field of vision. The device features include a camera, microphone, touchpad, and headset that allow the user to access information and remain connected to the internet. Some key technologies powering Google Glass include wearable computing, ambient intelligence, eye tap, Android operating system, and 4G connectivity. While the device provides benefits like hands-free access to information, it also faces disadvantages such as social awkwardness and privacy concerns. Overall, Google Glass represents an innovative new platform that could improve lives through augmented reality capabilities.
Google Glass is a wearable computer with an optical head-mounted display (OHMD) that is being developed by Google in the Project Glass research and development project.
It includes voice-controlled Android device that resembles a pair of eyeglasses and displays information directly in the user's field of vision.It offers an augmented reality experience by using visual, audio and location-based inputs to provide relevant information.
In the wake of IoT becoming ubiquitous, there has been a large interest in the industry to develop novel techniques for anomaly detection at the Edge. Example applications include, but not limited to, smart cities/grids of sensors, industrial process control in manufacturing, smart home, wearables, connected vehicles, agriculture (sensing for soil moisture and nutrients). What makes anomaly detection at the Edge different? The following constraints be it due to the sensors or the applications necessitate the need for the development of new algorithms for AD.
* Very low power and low compute/memory resources
* High data volume making centralized AD infeasible owing to the communication overhead
* Need for low latency to drive fast action taking
Guaranteeing privacy In this talk we shall throw light on the above in detail. Subsequently, we shall walk through the algorithm design process for anomaly detection at the Edge. Specifically, we shall dive into the need to build small models/ensembles owing to limited memory on the sensors. Further, how to training data in an online fashion as long term historical data is not available due to limited storage. Given the need for data compression to contain the communication overhead, can one carry out anomaly detection on compressed data? We shall throw light on building of small models, sequential and one-shot learning algorithms, compressing the data with the models and limiting the communication to only the data corresponding to the anomalies and model description. We shall illustrate the above with concrete examples from the wild!
Driver drowsiness monitoring system using visual behavior and Machine Learning.AasimAhmedKhanJawaad
Drowsy driving is one of the major causes of road accidents and death. Hence, detection of
driver’s fatigue and its indication is an active research area. Most of the conventional methods are
either vehicle based, or behavioral based or physiological based. Few methods are intrusive and
distract the driver, some require expensive sensors and data handling. Therefore, in this study, a low
cost, real time driver’s drowsiness detection system is developed with acceptable accuracy. In the
developed system, a webcam records the video and driver’s face is detected in each frame employing
image processing techniques. Facial landmarks on the detected face are pointed and subsequently the
eye aspect ratio, mouth opening ratio and nose length ratio are computed and depending on their
values, drowsiness is detected based on developed adaptive thresholding. Machine learning
algorithms have been implemented as well in an offline manner. A sensitivity of 95.58% and
specificity of 100% has been achieved in Support Vector Machine based classification.
Rover is a system that enables location-based services by tracking user locations. It uses a Rover controller to interact with location services, clients, and content providers. The system architecture includes Rover clients, wireless access points, servers like the location server and media streaming, and a Rover database. It aims to scale to serve large numbers of users across various devices and wireless technologies.
The document discusses service level agreements (SLAs) in cloud computing. It defines an SLA as a formal contract between a service provider and consumer that defines the level of availability and performance guaranteed by the provider. SLAs contain service level objectives that are measurable conditions used to select cloud providers. The document provides two example problems, the first calculating if an availability guarantee was violated given total outage time, and the second calculating the effective cost for a service given availability percentages and outage durations were below guarantees.
This document summarizes an image recognition project that uses the CIFAR-10 dataset to train a model to recognize images. It introduces image recognition and the CIFAR-10 dataset. It describes the project structure, the author's process of building a model using TensorFlow and Keras in Python, training it on CIFAR-10, and how the trained model works by comparing input images to those in the training set and outputting a class match. The conclusion states this was a basic image recognition model to demonstrate machine learning concepts.
This document summarizes the DeepLab models for semantic image segmentation: DeepLab v1 used atrous convolution with VGG-16 as the backbone network. DeepLab v2 improved on this with atrous spatial pyramid pooling and added ResNet-101 as an option. DeepLab v3 removed dense CRFs and introduced multi-grid atrous convolution and bootstrapping. DeepLab v3+ uses an encoder-decoder architecture with Xception or ResNet-101 as the backbone and atrous separable convolutions.
This document discusses object detection using the Single Shot Detector (SSD) algorithm with the MobileNet V1 architecture. It begins with an introduction to object detection and a literature review of common techniques. It then describes the basic architecture of convolutional neural networks and how they are used for feature extraction in SSD. The SSD framework uses multi-scale feature maps for detection and convolutional predictors. MobileNet V1 reduces model size and complexity through depthwise separable convolutions. This allows SSD with MobileNet V1 to perform real-time object detection with reduced parameters and computations compared to other models.
How do you map your business model and business plan at the same time? BID Canvas visually maps the existing and future state of your business that can be viewed in a glance.
How do you map your business model and business plan at the same time? BID Canvas visually maps the existing and future state of your business that can be viewed in a glance.
This document discusses screenless display technology. It describes screenless displays as systems that transmit visual information from a video source without the use of a screen. The document outlines several technologies being used for screenless displays, including interactive projection systems, 3D projection technologies, and retinal display systems. It provides examples of emerging screenless display technologies, such as Google Glass and holographic projections, and discusses how screenless computing may impact fields like lighting, software, and careers for visually impaired individuals.
Object detection is a computer technology related to computer vision and image processing that deals with detecting instances of semantic objects of a certain class (such as humans, buildings, or cars) in digital images and videos. Well-researched domains of object detection include face detection and pedestrian detection. Object detection has applications in many areas of computer vision, including image retrieval and video surveillance.
This document discusses 3D passwords as a new authentication technique that combines existing methods like text passwords, graphical passwords, and biometrics into a single 3D virtual environment. The user interacts with various objects in the virtual world to create their unique 3D password. When logging in, they must recreate the same sequence of interactions. This makes 3D passwords more secure by increasing the number of possible passwords and making them difficult for attackers to guess. The document outlines how a 3D password system would work, including designing the virtual environment, recording the user's interactions as their password, and guidelines for the virtual world design like real-life similarity, unique distinguishable objects, and appropriate size.
A DEEP LEARNING APPROACH TO CLASSIFY DRONES AND BIRDSIRJET Journal
This document presents a deep learning approach to classify drones and birds using images. It proposes using a convolutional neural network (CNN) trained on labeled images of drones and birds. The system would first preprocess images by converting them from RGB to HSV color space and removing noise. It would then extract features using Gabor filters to capture data at different frequencies and orientations. These features would be used to train a CNN for classification. The trained CNN could then classify new images as either drones or birds. This approach aims to address security and safety issues caused by unauthorized drone use near airports by enabling accurate detection and identification of drones versus birds in images.
Customer segmentation is a Project on Machine learning that is developed by using Clustering & clustering is the technique that comes under unsupervised learning of machine learning.
Segmentation allows prospects based on their wants and needs. It allows identifying the most valuable customer segment so the basis of it vender improve their return on marketing investment by only targeting those likely to be your best customer.
The presentation is coverong the convolution neural network (CNN) design.
First,
the main building blocks of CNNs will be introduced. Then we systematically
investigate the impact of a range of recent advances in CNN architectures and
learning methods on the object categorization (ILSVRC) problem. In the
evaluation, the influence of the following choices of the architecture are
tested: non-linearity (ReLU, ELU, maxout, compatibility with batch
normalization), pooling variants (stochastic, max, average, mixed), network
width, classifier design (convolution, fully-connected, SPP), image
pre-processing, and of learning parameters: learning rate, batch size,
cleanliness of the data, etc.
The visualization pipeline consists of 4 main stages: 1) data acquisition, where data is produced or acquired, 2) data enhancement, where data is prepared or preprocessed, 3) visualization mapping, where data is mapped to geometric primitives, and 4) rendering, where geometric data is transformed into images. Common operations at each stage include measurement, filtering, mapping to points and colors, and projection from 3D to 2D. Visualization tools like VTK and VisTrails implement the pipeline to transform data into informative images.
본 논문은 single depth map으로부터의 정확한 3D hand pose estimation을 목표로 한다. 3D hand pose estimation은 HCI, AR등의 기술을 구현함에 있어서 매우 중요한 기술이다. 이를 위해 많은 연구자들이 정확도를 높이기 위해 여러 방법을 제시하였지만, 여전히 손가락들의 비슷한 생김새, 가려짐, 다양한 손가락의 움직임으로 인한 복잡성 때문에 정확도를 올리는데 한계가 있었다. 본 논문은 기존 방법들의 한계를 극복하기 위해 기존 방법들이 사용하는 입력 형태와 출력 형태를 바꾸었다. 2d depth image를 입력으로 받아 hand joint의 3D coordinate를 직접 regress하는 대부분의 기존 방법들과는 달리, 제안하는 모델은 3D voxelized depth map을 입력으로 받아 3D heatmap을 출력한다. 이를 위해 encoder-decoder 형식의 3D CNN을 사용하였고, 달라진 입력과 출력 형태로 인해 제안하는 모델은 널리 사용되는 3개의 3d hand pose estimation dataset, 1개의 3d human pose estimation dataset에서 가장 높은 성능을 내었다. 또한 ICCV 2017에서 주최된 HANDS 2017 challenge에서 우승 하였다.
Indoor Tracking System. Detailed information and comparision between two efficient systems, RFID based and WIFI based. Made it referring two institutional research papers. ONLY FOR EDUCATIONAL PURPOSES! Never implemented! :P
This document summarizes deep learning based object detection. It describes popular datasets like PASCAL VOC, COCO, and others that are used for training and evaluating object detection models. It also explains different types of object detection models including two-stage detectors like R-CNN, Fast R-CNN, Faster R-CNN, Mask R-CNN and one-stage detectors like YOLO, YOLO v2, YOLO v3, SSD, and DSSD. It discusses the methodology and improvements of these models and concludes that while detecting all objects is an endless task, improved targeted detection is already possible and will continue to progress.
Google Glass is an augmented reality smart glasses project developed by Google. It displays information in a smartphone-like interface located in the user's field of vision. The device features include a camera, microphone, touchpad, and headset that allow the user to access information and remain connected to the internet. Some key technologies powering Google Glass include wearable computing, ambient intelligence, eye tap, Android operating system, and 4G connectivity. While the device provides benefits like hands-free access to information, it also faces disadvantages such as social awkwardness and privacy concerns. Overall, Google Glass represents an innovative new platform that could improve lives through augmented reality capabilities.
Google Glass is a wearable computer with an optical head-mounted display (OHMD) that is being developed by Google in the Project Glass research and development project.
It includes voice-controlled Android device that resembles a pair of eyeglasses and displays information directly in the user's field of vision.It offers an augmented reality experience by using visual, audio and location-based inputs to provide relevant information.
In the wake of IoT becoming ubiquitous, there has been a large interest in the industry to develop novel techniques for anomaly detection at the Edge. Example applications include, but not limited to, smart cities/grids of sensors, industrial process control in manufacturing, smart home, wearables, connected vehicles, agriculture (sensing for soil moisture and nutrients). What makes anomaly detection at the Edge different? The following constraints be it due to the sensors or the applications necessitate the need for the development of new algorithms for AD.
* Very low power and low compute/memory resources
* High data volume making centralized AD infeasible owing to the communication overhead
* Need for low latency to drive fast action taking
Guaranteeing privacy In this talk we shall throw light on the above in detail. Subsequently, we shall walk through the algorithm design process for anomaly detection at the Edge. Specifically, we shall dive into the need to build small models/ensembles owing to limited memory on the sensors. Further, how to training data in an online fashion as long term historical data is not available due to limited storage. Given the need for data compression to contain the communication overhead, can one carry out anomaly detection on compressed data? We shall throw light on building of small models, sequential and one-shot learning algorithms, compressing the data with the models and limiting the communication to only the data corresponding to the anomalies and model description. We shall illustrate the above with concrete examples from the wild!
Driver drowsiness monitoring system using visual behavior and Machine Learning.AasimAhmedKhanJawaad
Drowsy driving is one of the major causes of road accidents and death. Hence, detection of
driver’s fatigue and its indication is an active research area. Most of the conventional methods are
either vehicle based, or behavioral based or physiological based. Few methods are intrusive and
distract the driver, some require expensive sensors and data handling. Therefore, in this study, a low
cost, real time driver’s drowsiness detection system is developed with acceptable accuracy. In the
developed system, a webcam records the video and driver’s face is detected in each frame employing
image processing techniques. Facial landmarks on the detected face are pointed and subsequently the
eye aspect ratio, mouth opening ratio and nose length ratio are computed and depending on their
values, drowsiness is detected based on developed adaptive thresholding. Machine learning
algorithms have been implemented as well in an offline manner. A sensitivity of 95.58% and
specificity of 100% has been achieved in Support Vector Machine based classification.
Rover is a system that enables location-based services by tracking user locations. It uses a Rover controller to interact with location services, clients, and content providers. The system architecture includes Rover clients, wireless access points, servers like the location server and media streaming, and a Rover database. It aims to scale to serve large numbers of users across various devices and wireless technologies.
The document discusses service level agreements (SLAs) in cloud computing. It defines an SLA as a formal contract between a service provider and consumer that defines the level of availability and performance guaranteed by the provider. SLAs contain service level objectives that are measurable conditions used to select cloud providers. The document provides two example problems, the first calculating if an availability guarantee was violated given total outage time, and the second calculating the effective cost for a service given availability percentages and outage durations were below guarantees.
This document summarizes an image recognition project that uses the CIFAR-10 dataset to train a model to recognize images. It introduces image recognition and the CIFAR-10 dataset. It describes the project structure, the author's process of building a model using TensorFlow and Keras in Python, training it on CIFAR-10, and how the trained model works by comparing input images to those in the training set and outputting a class match. The conclusion states this was a basic image recognition model to demonstrate machine learning concepts.
This document summarizes the DeepLab models for semantic image segmentation: DeepLab v1 used atrous convolution with VGG-16 as the backbone network. DeepLab v2 improved on this with atrous spatial pyramid pooling and added ResNet-101 as an option. DeepLab v3 removed dense CRFs and introduced multi-grid atrous convolution and bootstrapping. DeepLab v3+ uses an encoder-decoder architecture with Xception or ResNet-101 as the backbone and atrous separable convolutions.
This document discusses object detection using the Single Shot Detector (SSD) algorithm with the MobileNet V1 architecture. It begins with an introduction to object detection and a literature review of common techniques. It then describes the basic architecture of convolutional neural networks and how they are used for feature extraction in SSD. The SSD framework uses multi-scale feature maps for detection and convolutional predictors. MobileNet V1 reduces model size and complexity through depthwise separable convolutions. This allows SSD with MobileNet V1 to perform real-time object detection with reduced parameters and computations compared to other models.
How do you map your business model and business plan at the same time? BID Canvas visually maps the existing and future state of your business that can be viewed in a glance.
How do you map your business model and business plan at the same time? BID Canvas visually maps the existing and future state of your business that can be viewed in a glance.
Dynamic Yield machine learning engine acquisition by McDonald's corporation a...ChukwuemekaAnthonyOr
This presentation discusses the acquisition of dynamic yield by McDonald's Corporation and the prospects of implementing this machine learning engine to encourage customer's healthy dietary habits. This presentation is strictly for educational purposes and not intended for use as a business proposal.
The document provides details on the design process for an app called Protein Pal. It describes conducting research through questionnaires with target users aged 16-28 to understand their needs. Key points from the research were organized to define the app's purpose and features. Ideation methods like mind maps and mood boards were used to develop ideas. The app aims to educate users on plant-based proteins, track their progress, and provide discounts. Individual sections include "Learn" courses on proteins, a meal tracker, and suggested snacks. Wireframes and prototypes were created and tested for the education features. The document discusses using behavior change models to motivate users through tailored notifications and information.
'Custom Chef' is a cooking app which lets you input the ingredients and shows the recipes that can be made only out of those ingredients. This presentation is an outline of the marketing plan of the 'Custom Chef'.
Intro to PM Execution Interviews by Facebook Product LeaderProduct School
This document provides an overview of execution interviews for product manager roles. It discusses three common types of execution interview questions: tradeoffs between two options, setting goals for a product, and performing root cause analysis. Frameworks are presented for each type to help structure responses. The document concludes with an example live mock interview.
The document proposes a recipe app called "Your Ingredients, Our Recipe" that provides custom recipes based on the ingredients users have available. It uses high-end technology and collaborates with well-known chefs globally. The free version allows 5 recipe requests per month and a social platform, while the premium version offers workshops, daily expert responses, and 15 additional recipes monthly. It aims to solve the problem of finding recipes for available ingredients efficiently and healthily while saving time.
Vipanchith Reddy Nalimela
Week-6 Discussion
Marketing Management
BADM-533-01
University of Cumberlands
The assigned reading for this week has many important concepts that would help in learning the marketing management course. The marketing framework is important to learn the basic about the market. The basic structure of a market is made of 5C’s i.e., customer, company, content, collaborators, and competitors. The basic framework of product manufactured by any company is governed by for basic elements like product, price, place and promotion. Making the product reach the right customers at right time can be done by understanding the basic elements of promoting the product like segmentation, targeting, and positioning. The market research techniques caught my attention for the detailed analysis that can be made in different situations using the techniques provided in this chapter. The conjoint analysis is particularly helpful in catching the customer’s attention in the café like situations. In the given scenario designing the conjoint for making most of the customers happy while ordering the pizza can be efficiently done using the conjoint studies and conjoint analysis. Each customer has different preferences and product attributes while ordering a pizza as there were zillion combinations of ingredients used in making a pizza. In the situations and scenarios like ordering a pizza, the Café should also optimize the time for ordering and receiving a pizza for a customer and also make the café should make the customer feel happy about the price he or she being charged for a pizza. The conjoint analysis particularly helpful in pricing the fair and square for a product and making customer feel happy about the price that they have paid for a particular product. The B schools café are usually visited by regular customers often the people associated with the B school like students and staff would visit the B School Café for their different needs like breakfast, lunch, snacks, etc and offering the packages or programs like monthly packs etc, for these kinds of customers would be helpful for both the Café managers and visiting customers(Iacobucci., 2018).
PIZZA
COMBINATION
PRICE
WHEAT CRUST
THICK CRUST + PLAIN CHEESE + SAUSAGE
$60/MONTH
WHEAT CRUST
THIN CRUST + PLAIN CHEESE+SAUSAGE
$55/MONTH
WHITE CRUST
THICK CRUST + PLAIN CHEESE+ SAUSAGE
$50/MONTH
WHITE CRUST
THIN CRUST + PLAIN CHEESE + SAUSAGE
$40/MONTH
There were many more combinations that can be used and added to the conjoint analysis. The analysis and the design for ordering a pizza at a café would make the customers choose their orders easily and also the offering the customers such analysis would make the customer both loyal and happy with the service provided. This analysis would make the customer happy by making him or her feel that he is paying for the service that he or she is being provided with(Iacobucci., 2018).
References:
Iacobucci, D. (2018). Marketing management. 5th ed. Cengag.
This marketing plan proposes an Android app called Foodaholix that allows users to search over 300,000 recipes. It aims to be the leading recipe search app in India. The app will allow users to input ingredients and receive customized recipes. It will also enable in-app purchases of those ingredients and kitchen supplies. The free version provides basic features while the premium version removes ads and allows unlimited saving and customization. The plan outlines tactics for product development, pricing, promotion, and distribution, with the goal of 20,000 downloads in the first year.
The document describes a recipe search engine prototype to help users make healthier diet choices. It allows users to find recipes based on dietary restrictions and see calorie information. The prototype walkthrough shows users selecting ingredients, choosing recipes, and viewing nutritional details. Potential risks like inaccurate information or a confusing interface are mitigated through user testing. Benefits over other solutions include personalized recipes, offline access, push notifications, and an engaging mobile experience.
This document provides a marketing plan for a recipe search Android app called "Season's Eating". The app allows users to search for recipes based on the weather and ingredients they have. It will have free and premium versions. The plan outlines the app's features, target markets, competitors, branding, pricing, communication strategies, and implementation schedule. The goal is to establish brand equity and generate revenue of Rs. 3 crore in the first year and Rs. 25 crore in 4 years.
Nutrium is nutrition software that allows dietitians and nutrition professionals to manage clients, create personalized meal plans and assessments, and track progress all in one platform. It includes features like client profiles, anthropometric measurements, goal setting, meal planning, recipe management, and a client portal. Pricing starts at $35 per feature per month. The software aims to make consultations and data collection easier for nutrition professionals.
This document discusses the development of a recipe search mobile application. It outlines features of the app such as searching recipes by ingredients, calendar functionality to plan meals, and providing nutrition information. It also discusses monetization strategies like free basic features and premium subscriptions. Plans for marketing the app through social media, blogs, and partnerships are mentioned. Finally, it outlines the development process including gathering recipes, designing the app interface, and obtaining user feedback.
The document proposes a recipe search engine to help users make healthier diet choices. It allows users to search for and select recipes based on ingredients and dietary restrictions, and see calories and other nutritional information. The document outlines a prototype that allows users to create an account, search for and save recipes, and view details on saved recipes. It discusses risks like inaccurate search results and ambiguous interfaces, and mitigation strategies like user testing. Implementation is estimated at $100,000 over one year to develop a personalized, mobile-friendly solution with push notifications and interactive features.
CFBSA PowerPoint Presentation FINAL VERSIONFred Kass
The document outlines several potential frameworks for evaluating the Community Food Bank of Southern Arizona's feed the line programs and tracking outcomes over the long term. It discusses applying the RE-AIM framework which focuses on reach, effectiveness, adoption, implementation and maintenance. It also discusses a results-based accountability approach which starts with defining desired outcomes and works backward to identify programs and measures. Both approaches emphasize using data to drive decision making and involve partners. The document does not recommend one framework over the other.
This document outlines a marketing plan for a proposed Android app called "COOKCHAT" that allows users to search for recipes by inputting ingredients. The 3 sentence summary is:
The app would allow users to input ingredients and search hundreds of recipes online with step-by-step instructions. The goal is to become India's best recipe search app with over 10,000 downloads in the first year and revenue targets of 3 crore rupees in the first year and 5 crore rupees in 5 years. The marketing strategy involves a free basic version of the app with a premium subscription version that offers additional features.
uFoodies is a SAAS-based restaurant reservation and management system that allows restaurants to take online and phone reservations, manage tables and staff assignments, and gain customer insights. It has no special hardware requirements. The target market is the 400,000+ restaurants in the US, and it aims to improve restaurants' ROI by reducing third-party reservation fees. Growth strategies include partnerships, social media marketing, and defining additional products and services. Revenue comes from annual licensing fees and add-ons like mobile and website integration. The founding team has experience in project management, user experience, sales, and technology development.
Depex is pleased and would like to thank you for the opportunity to submit a proposal for the design of an Ingredients & Recipes Ordering Platform with a Website & Native Mobile App.
Working together, we believe that we can create a platform that will meet the needs of clients appropriately.
https://depextechnologies.com/
You tube adding title page and picture to your videoSamantha Daleiden
To add a title page to a YouTube video, login to your YouTube account and click upload. Open the video editor and create a new project. Drag your video into the editor. Click the "a" button to choose a title page, then drag it before your video clip. Edit the title text by changing font, size, color, and bolding. Optionally, add a picture or logo at the end by uploading an image and dragging it to the end of the clip. Publish the video when complete.
This document discusses website creation tools that allow users to easily and inexpensively create and update their own website without depending on a webmaster. It was presented by Samantha Marshall at the Child Care Food Program Roundtable Conference in 2013 and encourages attendees to take control of their website's destiny by using these types of tools.
This document provides information about the Child and Adult Care Food Program (CACFP) and resources available on ChildCareInfo.com. It introduces Samantha Marshall, who is passionate about the child care provider career. The document discusses the history and future of CACFP and how ChildCareInfo.com aims to help providers and answer their questions. It directs readers to different parts of the ChildCareInfo.com website for information on topics like selling used furniture, commenting on CACFP rules, finding recipes, learning about child care quality, creating a free website, teaching kids about food groups, promoting CACFP, finding book recommendations, getting an early childhood education news digest, entering contests, accessing continuing education, finding
Social media part 1_roundtable_2013_cci template_for_onlineSamantha Daleiden
This document discusses using social media as part of the Child Care Food Program Conference in the fall of 2013. Attendees were instructed to get into groups based on the social media card they received and answer three questions about the logo: what it is, how to use it, and why it is valuable. The document then provides descriptions of common social media platforms like social networks, social bookmarking, photo sharing, blogs, and video sharing. It concludes by thanking child care providers for their participation.
2013 social media putting power in your hands tsa ncaSamantha Daleiden
This document provides guidance on using social media to promote the Child and Adult Care Food Program (CACFP). It discusses several social media platforms and tools for engagement. The key recommendations are to consider goals, audience, channel, and time when developing content, and to strategize by making a content plan. Facebook posts should be more detailed while tweets should be concise using hashtags (#) and mentions (@). Tools like Hootsuite, Tweetdeck, and Bitly can help schedule posts and shorten URLs.
This document provides instructions for finding, saving, and organizing recipes from the recipe section of a website. It describes how to search for recipes by name or ingredients, browse recipes alphabetically, and view more results per page. Users can bookmark recipes in their browser or use Bitly to shorten and save recipe links to organized folders. The document also explains how to create a private or shared online recipe box to aggregate recipes from different sites and allow others to contribute.
This document provides an overview of Minute Menu CX software for sponsoring child care centers. It discusses key aspects of the software such as determining free/reduced/paid meal eligibility; blended meal rates; menu development; attendance tracking; claims processing; and training resources. The goal is to help centers understand how Minute Menu CX can assist with administrative tasks and record keeping for the child nutrition program.
Curious what to say about the CACFP in Social Media? This guide has many examples for both Twitter and Facebook! Great way to get started Tweeting or Facebooking about the Child and Adult Care Food Program
This document provides instructions for submitting an entry to a contest. It notes that entrants should carefully review the contest rules and eligibility requirements. Contestants are also advised to complete the entry form in full and submit all required materials before the posted deadline.
The Child and Adult Care Food Program provides assistance with food costs, nutrition education, and marketing opportunities for child care facilities. It also offers lifelong health benefits to participating children and affordable meals for families. To participate, facilities must apply through their state agency, record meals served, and follow food guidance. Getting started involves researching requirements, attending an orientation, and talking to other participating programs.
This document provides tips for recruiting and retaining centers in the Child and Adult Care Food Program (CACFP). It recommends using partnerships, marketing through existing centers, identifying prospects based on location and eligibility factors, and conducting targeted outreach. When recruiting, representatives should explain benefits to centers, be consultants rather than enforcers, and overcome objections by emphasizing assistance. For retention, the document suggests reviewing operations evaluations with centers, assisting with errors, and providing excellent customer service. The overall goal is to sell the benefits of CACFP and make participation easy for centers.
Presentation is the improved version of CACFP and Social Media meant for the CCFP Roundtable conference. After giving the workshop we learned about some more clarity needed and organization of the workshop. Details on what social media is Facebook and Twitter, how when and what to say and a PLAN!
Social Media and More: Getting Friendly with the WebSamantha Daleiden
This presentation is about different types of social media platforms and additional web 2.0 resources and tools. Audience is for CACFP sponsors or child care professionals but relevant to most basic-average users.
1) Minute Menu Kids Pro is a software that helps child care providers track essential information like facility details, child information, attendance, menus, and finances to help them achieve quality child care goals.
2) It provides features like a lesson planner, daily reports, accounting, chart maker, and certificate maker. New features include an improved daily planner similar to Outlook and an online recipe database.
3) The webinar promotes additional Minute Menu products and services like training tools and bulk purchase discounts to help providers effectively manage their business and document their provision of quality child care.
This document provides instructions for adding a Google calendar to a Weebly website to share a child care business schedule. It outlines steps to create a public Google calendar, copy the embed code, and paste it into the custom HTML section of the Weebly page. Once added, any updates made to the Google calendar will automatically update on the website.
This document provides tips and resources for family child care providers to use the internet and social media for their business. It discusses searching online using Google and filtering search results. It also gives advice on using social media platforms like Facebook and Twitter for child care marketing. Finally, it recommends some web resources and encourages social bookmarking and creating a website.
1. Recipe Module Request for
Proposal
Samantha Marshall
Minute Menu Systems, LLC
11/8/2012
2. Summary
ChildCareInfo.com, of Minute Menu Systems, LLC, is accepting proposals to design and develop a recipe
module for the already existing website (ChildCareInfo.com).
The existing recipe “page” is not dynamic and not maintained in a database format.
Proposal Guidelines and Requirements
This is an open and competitive process.
Proposals received after December 1st are at risk of not being considered.
The proposal must be sent/signed by an authorized agent of the company submitting the
proposal.
If you wish to submit alternate solutions, please do so.
The price you quote should be inclusive. If your price excludes certain fees or charges, provide a
detailed list of excluded fees with a complete explanation of the nature of those fees.
Provisions of this RFP and the contents of the successful responses are considered available for
inclusion in final contractual obligations.
Contract Terms
The Minute Menu Systems, LLC will negotiate contract terms upon selection. All contracts may be
subject to review by legal counsel, and a project will be awarded upon signing of an agreement or
contract, which outlines terms, scope, budget and other necessary items.
Purpose, Description and Objectives
Purpose
ChildCareInfo.com is a website created in the Dot Net Nuke (DNN) framework. The majority of the
website is content creation and strict module “as-is” usage. ChildCareInfo.com would like a dynamic
recipe module that will work within the DNN framework. Upon completion, successful installation and a
3 month trial period of the module, ChildCareInfo.com/Minute Menu Systems will assume full
responsibility for module content maintenance and administration. All content, coding and graphics will
become the sole property of ChildCareInfo.com/Minute Menu Systems, LLC.
Description
Create a dynamic recipe module that is easy to use. Must be a module designed within the dot net nuke
framework or 100% compatible. The recipe module will be dynamic and have an ever growing recipe
database. Each recipe will have its own URL so users can share, favorite, print per recipe, etc. Users will
have the ability to submit their own recipes for approval and display on ChildCareInfo.com.
1 Confidential/Proprietary Samantha Marshall
ChildCareInfo.com
3. To be effective, the recipe module must be:
1. Dynamic
2. User-Friendly, Easy and Intuitive
3. Visually pleasing
4. Safe and secure
5. Quick to load and operate
Objective
Our primary objective with the recipe module is to provide a service to a niche child care community –
recipe module that caters to child serving adults (child care providers-family child care providers and
small centers- and parents) which also grows the ChildCareInfo.com community as a whole.
Our Vision
1. Provide a dynamic recipe solution for people caring for and serving food to children
2. Provide a solution to the endless search for healthy child friendly recipes and meal ideas
3. Provide a solution for an easy and effective place to maintain recipes, grocery lists and menus
4. Provide a solution for providers and families to find healthy recipes based upon USDA meal
requirement guidelines – as indicated
5. Help families and providers learn about My Plate components and how recipes may or may not
fulfill those components with the My Plate icon.
6. Maintain the first –ever, Kid Approved Database of recipes!
For more information on specific goals and user audience please see the project profile in Appendix A.
Budget
Please provide several cost proposals to accomplish the scope outlined below. The budget must
encompass all design, production, and software acquisitions necessary for development and
maintenance of the web site.
Hosting will be addressed separately and costs for hosting are not included in the budget for this
project.
List pricing for:
Phase I: Discovery, Requirements Planning & Site Definition
Phase II: Site Development, Testing and Deployment
ChildCareInfo.com/Minute Menu has allocated $3,000 for this project (Phase I and II). However, we will
entertain responses for greater than $3,000 should they show an incremental project plan.
Adversely, the scope of the project is subject to refinement according to what can be done within
budgetary constraints as long as the initial development is done with room for enhancements based
on project profile desires.
2 Confidential/Proprietary Samantha Marshall
ChildCareInfo.com
4. Scope and Guidelines
The scope of this project is to create a recipe module for ChildCareInfo.com’s website.
ChildCareInfo.com/Minute Menu will create and maintain the spreadsheet/database of recipes as well
as tagging the recipes as needed for the filtering and search parameters.
Developer(s) will handle all module planning, interface design and production. The module must include
a technology solution for recipe import and export.
Discovery
Confirm audiences, objectives, graphic look and feel, navigation, site marketing, technology issues
and assumptions, required functionality, phasing, and budgetary constraints, resulting in a creative
brief.
Design
Module information architecture, graphic look and feel, user navigation, recipe home page and main
navigation templates for each of the main navigation links.
Development Guidelines
The module designed by the successful candidate must meet the following criteria:
Create a dynamic recipe module that non-technical staff can administer as well as import
recipes to and from module
Visually Appealing
Module should match the look and feel of the ChildCareInfo.com skin
Ease of use to the end user: the filtering, searching, printing, sharing and adding to recipe box
will be intuitive, easy for the user to understand how to use w/out instruction
Recipe Module Functionality and Features:
o Recipe Submission: user will add recipe to own recipe box with an option to make it
public and share with the ChildCareInfo community
o Recipe Box: user will be able to add, remove, and reorganize recipes “added to” recipe
box. User will also be able to organize recipes added to recipe box in a folder. Recipe
box can/will also retain archived/saved Menus and Grocery Lists
o Menus created from recipes added to them, also can enter in meal name that is not a
recipe in the database. Daily, Weekly or Monthly option. Option to copy and paste or
repeat (creating cyclical menus).
o Grocery list created based on recipe(s) chosen or menu (also by day/week/month
chosen). Ability to add items to grocery list not on recipe ingredient list
o Dynamic My Plate Icon displaying what part of the My Plate components the recipe
meets. For example if the recipe fulfills the fruits and vegetables section then the fruits
and veggies side of the plate would be highlighted (they are all different colors in the
icons)
o CACFP Approved checkmark or icon for recipes that would meet federal CACFP
regulations
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ChildCareInfo.com
5. o Kid Approved checkmark or icon
o Filter by: Type of Meal (breakfast/lunch/dinner/snack), CACFP Approved, Kid Approved,
Kid Activities, Seasonal, My Plate Component, Ratings, Coupons/Deals, #of times added
to recipe box, Serving Sizes, Meals to Cook with the Kids
2nd degree filtering. Once one filter is chosen on the left menu there will be an
option to filter more specifically. For example : Breakfast is chosen then there
will be categories like: Pancakes/French Toast, Burritos, Smoothies, Omelets etc.
o Advanced Search
o Ratings
o Comments
o “Easy Meal Finder” (need to call it something else) I have this (or these) ingredient(s)
and want to make Breakfast/Lunch/Dinner/Snack – find relevant recipes.
o Ability to include coupons/promo codes/advertisements per recipe (per ingredient
would be ideal)
o Drag and Drop functionality whenever possible
o Credit provided to submission (either by user name of registered user, administrator, or
import.
For a visual and more specific description, please see the powerpoint that can be found here
recipe pages.pptx and if that doesn’t work you can download it from slideshare, here.
Registered users/display names and users are synced with overall ChildCareInfo.com website
Develop with option of monetizing based upon 1) promotions for particular recipes/ingredients,
2) Banner ads, and 3) upgrading “membership” or feature access based on payment to access
certain features.
Once the module has been completed, successful implementation and accepted by
ChildCareInfo.com/Minute Menu, the module design and all of its contents, software and
architecture become property of ChildCareInfo.com.
Proposal Requirements
Assert specific functionality and timeline for budget stated in RFP.
Propose the costs for entire module functionality.
Propose working timeline
Explain process of development, testing and release
Please submit proposals to:
samantha@minutemenu.com or s.daleiden@gmail.com
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ChildCareInfo.com
6. Appendix A: General information/Project Profile for recipes on
ChildCareInfo.com
RECIPE PROJECT INFORMATION
1. Please give a brief description of the project goals:
Recipes to entire child care community through childcareinfo.com
Provide a "recipe database" that is easy for end user to navigate and successfully
find what they are looking for
Make it specific to our audience
o show kid friendly recipes,
o CACFP friendly (Federal Standards) – Show CACFP Approved icon
o Use My Plate
o Add to menu
o Nutritional Facts
o Categories/Filters by Meal Components that the recipe fulfills
o Show Serving Sizes – two main categories (more than 20, less than 20)
o Kid Approved Checks
o Opening for coupon functionality
Ability to turn functionality on and off based on membership or payment.
Cross-Platform/product functionality
Have one recipe platform across Minute Menu products
2. Please give a description of the overall project goals (overall organizational goals):
Provide a service to a niche child care community – recipe module that caters to
child serving adults (child care providers-family child care providers and small
centers- and parents)
Drive new and returning traffic to childcareinfo
Set up a potential channel for revenue via advertising or possibly charging for parts
of the modules features
Possible integration with company’s other products
3. What are your timeline requirements and why? (i.e., announcement to press)
Choose developer/vendor by December 1
Execute contract by December 15
Begin discussions and spec clarifications immediately
Begin development by January 7
Complete project by March 1, ready for big conference
5 Confidential/Proprietary Samantha Marshall
ChildCareInfo.com
7. WHO’S WHO
Product Manager ChildCareInfo: Samantha, samantha@minutemenu.com, ext. 0218
PROJECT SPECIFIC INFORMATION
PROJECT HIGHLIGHTS
1. Dynamic: Search, favorite, submit and filter
2. Add to “Recipe Box”
3. Rate/Review
4. Grocery List
5. My Plate/Meal Pattern Requirements,
6. recipes indexed/tagged according to My Plate/Meal Pattern Requirements met, Center Recipes vs. FCCH
Recipes, Relevant themes, children's activities
7. child approved
METRICS FOR SUCCESS
The success of a Web site can be measured in many different ways. The following are a list of standard metrics.
Indicate the metrics most valuable to Minute Menu by ranking the items listed below from "1", most important, to
"6" least important in each category.
Include additional metrics that pertain directly to your organization or the goals of this site if there are established
objective measures or thresholds that will enable testing the metric. Delete categories that do not pertain to your
business and site goals.
RANKING METRICS
Rank: Objective Measure/Threshold:
Site Usage
# of impressions (hits) (page, section, or site) 1 These items are all important to sell
advertising, encourage people to
interact on the site, and obtain
additional content contributors
Length of user session 2 Important. we want users engaged
and finding the recipes and tools
useful
6 Confidential/Proprietary Samantha Marshall
ChildCareInfo.com
8. Number of repeat visitors to site 1 This is important. Recipes
submissions should increase
consistently. Users to return to find
more recipes and revisit the recipes
they saved in their recipe box.
Information or demographic data for on-line visitors 2 Important to gauge what the users
are utilizing. We can use this
information for marketing purposes,
sales of advertising purposes and as a
tool to consider when measuring
success in certain areas.
User response & Public Perception
User comments & testimonials within the product 2 Important. Want users commenting
on the recipes and therefore helping
create the child care community.
User comments & testimonials outside the product 3 Important for sharing throughout the
child care industry to get more users
entering the site for recipes and
seeing what else we have to offer
User Satisfaction (verification site visitors feel 1 Extremely important
comfortable on the web site and are gaining access to
required data and information in a timely fashion)
Positive comparisons with similar sites 1 Extremely important
Mention of site in mainstream press 5 This could be useful but not
important at the moment.
Mention of site in trade press 2 Useful. Anything Child Care.
Number of links to the site from other web sites 1 This should be high and is important.
If we could have a linking partnership
with some of these sites, that will be
very useful.
Search engine rankings 1 Extremely important for
childcareinfo.com and Minute
Menu. Recipes section provides the
rest of the website with added
7 Confidential/Proprietary Samantha Marshall
ChildCareInfo.com
9. visibility
Scalability 2 Recipe "database" need to know how
to maintain and tag recipes correctly
as we add them to the site and then
update accordingly if need be.
Improved Customer Service, outreach
Email from site 5 Using "add this" for sharing which
includes emails
Form Submissions 1 We want the community submitting
their own recipes!
Downloaded PDFs /materials 2 Important to have the ability to print
the recipes/menus/shopping lists in
some easy to print and read format
Amongst the categories of metrics chosen above, please rank each category in order of importance listed below
from "1", most important, to "5" least important:
Rank Metric Category Objective Measure/Threshold:
Site Performance 2
User response & Public Perception 1
Improved Customer Service, outreach 3
Business Development 5
Business/Site specific metrics 4
USERS
Provide some additional information about who you most want to target. Who these individuals are & what the
conditions are in which they are coming to your site.
8 Confidential/Proprietary Samantha Marshall
ChildCareInfo.com
10. A little bit on their demographic characteristics as well.
PRIMARY USER 1 – HOME/FAMILY CHILD CARE PROVIDER
Demographic Information
Age: 18-65 years old
Occupation: Family/Home Child Care Provider
Location (City/State/Country): National (USA)
Level of Experience with Technology: Basic to Advanced
Entrance to Recipe section: Kids Pro, Organic Web Search, Browsing/Searching ChildCareInfo.com,
Referrals from Associations, Sponsors and other partnerships
User Goals (Top 3): 1. Find new recipes that are healthy, the right serving size and the children
like
2. Find recipes that qualify for CACFP
3. Find recipes that go along with activities/themes or recipes in which the
kids are involved
User Primary Uses (Top 3): 1. Finding recipes to add to recipe box for later retrieval as well as adding
own recipes to recipe box and sharing with the larger community
2. Creating a grocery list and menu based on recipes in website and recipe
box
3. Filter quickly for new cacfp recipes directed toward family child care
providers/duration/components to fulfill partially done menu
User Profile/Persona (Optional): User is looking for new recipes to add to her collection. She gets tired of
the same old menus and meals. She also tries to get the kids involved.
May or may not be using CACFP but attempts to provide the children in
her care with the healthiest meals possible.
PRIMARY USER 2 – CHILD CARE CENTERS
Demographic Information
Age: 18-65
Occupation: Small Center Director
9 Confidential/Proprietary Samantha Marshall
ChildCareInfo.com
11. Location (City/State/Country): National (USA)
Level of Experience with Technology: Basic to Advanced
Entrance to Recipe Section: CX, Organic Web Search, Browsing/Searching ChildCareInfo.com, Referral
User Goals (Top 3): 1. Center directors are going to use the recipe pages to find recipes for
their center cooks to use
2. Find recipes that qualify for CACFP
3. Find recipes that go along with activities/themes or recipes in which
they can get the kids involved.
User Primary Uses (Top 3): 1. Sharing recipes with chefs or center teachers as it applies to them
2. Filter quickly for duration/yield/CACFP/Particular component needed
for a menu
3. Create a recipe box for all of the staff to refer to for menu creation or
curriculum themed food ideas
User Profile/Persona (Optional): This user is more than likely an all-in-one. Center Director, Manager, Chef,
Activity Director, curriculum planner and doer of all of these things. If the
director is looking for recipes they are looking to fulfill all of their roles
aspects, including how to get the children involved either in the cooking,
liking or theme centered food.
PRIMARY USERS 3– CENTER COOKS
Demographic Information
Age: 18-65
Occupation: Child Care Center Cook
Location (City/State/Country): National (USA)
Level of Experience with Technology: Basic-Advanced
Entrance to Recipe section: CX, Organic Web Search, Browsing/Searching ChildCareInfo.com, Referral
User Goals (Top 3): 1. Find new recipes that are healthy and the children like
2. Find recipes that qualify for CACFP
3. Find recipes that fit the bill according to center director's requirements
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ChildCareInfo.com
12. User Primary Uses (Top 3): 1. Finding and adding recipes to recipe box for later retrieval
2. Filter quickly for duration/yield/CACFP/Particular component needed
for a menu
3. Addition to food purchasing list (easily added depending on Yield
needed or chosen)
User Profile/Persona (Optional): The center cook is most likely searching for recipes or browsing
dependent upon the director's needs. It could include what the director is
looking for as stated above. Could also just be a simple recipe search and
browse in order to make something that pertains to the children and
regulations (should they participate on USDA food nutrition programs)
PRIMARY USERS 4 – PARENTS (GUARDIANS )
Demographic Information
Age: 18-65
Occupation: Varies
Location (City/State/Country): National
Level of Experience with Technology: Basic to Advanced
Entrance to Recipe section: Organic Search or Browsing/Searching ChildCareInfo.com, Referrals
User Goals (Top 3): 1. Find new recipes the kids will like
2. Need help with Picky Eaters, new ideas
3. Making a snack or goodie for a school class and needs ideas for healthy
recipes
User Primary Uses (Top 3): 1. Finding recipes to add to recipe box for later retrieval as well as adding
own recipes to recipe box and sharing with the larger community
2. Creating a grocery list and menu based on recipes in website and recipe
box
3. Finding recipes to add to recipe box for later retrieval as well as adding
own recipes to recipe box and sharing with the larger community
User Profile/Persona (Optional): Parents' need can range but will more typically be like how they use other
recipe sites. This would be more beneficial because these recipes will be
family friendly, AKA, Kid Friendly. Parents that want to teach their
children about nutrition and get ideas of how to do that and what types of
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13. foods to make will be useful to them.
SECONDARY USERS 1 – GENERAL PUBLIC
Demographic Information
Age: 18-80 years old
Occupation: Varies
Location (City/State/Country): National
Level of Experience with Technology: Low to Advanced
Entrance to Recipe Section: Organic Web Search, Browsing/Searching Childcareinfo.com
User Goals (Top 3): 1) Looking for recipes kids like
2) Need dinner/snack/lunch/breakfast ideas
3) Also add recipes to the site and their own recipe box
User Primary Uses (Top 3): 1)
2)
3)
User Profile/Persona (Optional): One way we can gain exposure to general users is using the google html to
get indexed in their recipe filter. This could expose the recipe section to a
wide range of users, not just people seeking out recipes for kids.
Audience (from List three most important information needs of this audience Rank audience in order of
above) with respect to the site importance
Prim 1-4 Filter, search and browse according to unique categories . ie. 1
meal components, CACFP require., meal pattern/my plate,
kid approved etc.
Prim 1-4 Must be able to save to recipe box 2
Prim 1-4 Get the recipes indexed in google's recipe filter section 3
USER SCENARIOS
Describe specific situations where a user would come to the site and what you might expect them to do while
there.
12 Confidential/Proprietary Samantha Marshall
ChildCareInfo.com
14. Scenario 1 Jennifer, a licensed child care provider and participant of CACFP wants to find some
new recipes for her child care. Jennifer is also a MM Kids Pro user. She clicks on the
Primary User 1 – link in Kids Pro for recipes because she is tired of the same old recipes she's been using
Home/Family child care and is interested in not only finding something new but something that she can teach
provider the children in her care with. Jennifer enters the recipe home page and sees browse
categories for "CACFP Compliant" (by federal standards), Top Kid Approved, Meal
Component, Recipes with Activities, Main Ingredient, Family Child Care Recipes and
Center recipes. She finds a recipe she really likes and wants to save it to her recipe
box. When she does this she gets to title the new folder, Recipe Ideas for Fall Activities
and she begins adding recipes in her new folder within her recipe box. She saves
several recipes to this folder and then shares the list (folder) with a fellow child care
provider.
She returns the next month and chooses a couple of recipes to use this month. She
adds them to her shopping list and then adds the materials she needs for her activities
to the shopping list as well. She can save this shopping list for use next year and she
doesn't have to recreate it the next time she wants to do this recipe and activity.
Scenario 2 Sara a center director is looking for a new recipe with a 50 yield. She visits
childcareinfo.com's recipe page and clicks on the "center recipes" link. Sara now sees a
Primary User 2 –Center large list of recipes that she can use for her care. She actually needs a recipe that will
Director/Cook fulfill her menu for Wednesday. She is missing a grain component for her Dinner
menu. She clicks on the My Plate filter for Grains and Breads and finds a long list of
recipes that fulfill this requirement. She still needs to find a 25 yield and filters
accordingly.
After she finds what she is looking for she creates her shopping list and saves to the
recipe box.
Scenario 3 - Parent Lyndsey, the parent of a picky eater toddler and a 7 year old interested in trying new
foods is looking for some recipes that are child friendly. She searches for child friendly
recipes and finds ChildCareInfo.com and the “Top Kid Approved” filter bingo, she can
peruse and search recipes that have been tested with children and deemed a success
by the child care community.
She had read through the comments on the recipes and how much the children loved
eating certain ones, maybe even how the children helped prepare the meal.
Lyndsey decides to save 3 recipes to her recipe box in a folder “Try These.”
She returns to childcareinfo.com to create her menu for the week. She searches for
some new recipes and finds some and adds them to her menu for the week. She also
adds two of the recipes she added to her recipes box the last time she was on
childcareinfo.com. She then decides she wants to create a grocery list. Lyndsey
chooses the grocery list option from the menu she just created.
13 Confidential/Proprietary Samantha Marshall
ChildCareInfo.com
15. The grocery list appears with all of the needed ingredients parsed out into categories
that one would see in standard grocery store aisles. She needs to add milk and eggs to
the list as well and goes ahead and types those in.
Lyndsey then prints the grocery list, menu, and recipes she wants to try for the week
and saves the grocery list and menu in her recipe box folder.
END USER COMPUTER ENVIRONMENT
Please describe the minimum required for your target user, and typical expectations
1. Screen Resolution: 1024 X 768 (minimum)
2. Browsers and Platforms: Firefox, Sarfari, Chrome, IE
3. Connection Speed: 1 Mb / sec
4. Other Considerations: n/a
DESIGN
WEBSITE DESIGN PREFERENCES
Please provide a list of sites you use or like.
URL Site Features Why (like or dislike)
http://www.epicurious.com/ Recipes and Menus Love shopping list, like the simple and clean
section, Articles, Extensive layout of the recipes and the "at a glance" as
Community, Advanced well as the tabs for reviews, photos, my notes
Search and Browse, LOTS and find out more. Like the forks for ratings.
of browse sections. Overall website is a little busy with the ads etc.
shopping list, add notes
http://allrecipes.com/ Recipes and menus, lots of the integration with the menu planning,
filtering and browsing shopping list and recipe is great and robust. I
options as well as an think the shopping list names and ease of
advanced search. Has a creating and editing one is great and I like how
MENU functionality. They making the menu can change or add to a
have a freemium model shopping list as well. The recipe page itself is
where you can get a lot for pretty standard.
free but if you want to edit
recipes and save them or
use the menus and save
14 Confidential/Proprietary Samantha Marshall
ChildCareInfo.com
16. you have to pay.
http://www.bettycrocker.com/r Easy Meal Finder is nice. This site overall is user-friendly and easy to get
ecipes Looking for recipes with up around. Really like the recipe box, the
to three items you have shopping list and the box that follows the
and the type of dish and recipe while scrolling down to add to recipe
returns extensive search box, sharing, printing etc.
results. After that you can
refine even more
extensively.
http://www.foodnetwork.com/r Standard. Can also add Really like the look and feel of the recipe box. It
ecipes-and-cooking/index.html your personal recipe.. Also has the basic functionality but seems really
has a quick recipe finder clean
based off of" I want to
make, with, duration and
where you want the recipe
from
http://www.tasteofhome.com/r Site is ok. Favorite is the This is an interesting format for the recipe box.
ecipes recipe box With the main recipes in your box and then the
tabbed options above it.
COMPETITIVE ANALYSIS / MARKETING CONSIDERATIONS
HOW DO YOU DIFFERENTIATE YOURSELF FROM YOUR COMPETITORS?
We can easily separate ourselves from government databases of recipes because these will be fun, easy
to use, easy to find and dynamic in many different ways.
We are separate from other recipe sites because of the child, child care, and cacfp focus.
PRODUCTION TECHNICAL / ENVIRONMENTAL CONSIDERATIONS
EXISTING SITES/PRODUCTS AND INTEGRATION
WHAT ASPECTS OF INTEGRATION ARE EXPECTED WITH THE RECIPE PLATFORM ON CCI AND KIDS PRO AND CX?
Links from Pro and CX to recipe page.
Shopping list and menu integration.
Another possibility is integrating the accounting part with the shopping list....Instead of the duplicate
entry the users could port over the same list as expenses or deductions....
Are there any technical constraints or requirements in order to integrate with additional systems?
HOSTING
15 Confidential/Proprietary Samantha Marshall
ChildCareInfo.com
17. D OES A HOSTING CONTRACT ALREADY EXIST , AND IF YES , WITH WHO ?
Yes. Power DNN
A RE THERE ANY REASONS , TECHNICAL OR NOT , WHICH PROHIBIT CHANGING HOSTING PROVIDERS IN THE EVENT
THIS WERE TO BE NECESSARY IN ORDER TO SATISFY TECHNICAL NEEDS OF THE NEW SITE ?
I don’t know at this time
A RE THERE ANY ADDITIONAL NOTES REGARDING HOSTING THE S ECTION ?
No
16 Confidential/Proprietary Samantha Marshall
ChildCareInfo.com