Daden Emerging Technology Seminars - Daden Limited is a Virtual Worlds and artificial intelligence solution provider.
Our focus is on using virtual worlds, and virtual personalities to deliver more efficient and effective enterprise systems, saving our clients money, time and carbon, and delivering better understanding and collaboration.
Daden Emerging Technology Seminars - Daden Limited is a Virtual Worlds and artificial intelligence solution provider.
Our focus is on using virtual worlds, and virtual personalities to deliver more efficient and effective enterprise systems, saving our clients money, time and carbon, and delivering better understanding and collaboration.
As a data science Intern at Leapcheck Services private limited, I have developed a naive chatbot using sequence to sequence model by LSTM of RNN. Sharing the tutorial which I made explicitly for the deep learning enthusiasts to
provide them a basic insight on how chatbot can be developed with the help of recurrent neural network.
Artificial Intelligence has unleashed a wave of innovation, from effortlessly summarizing
articles to engaging in deep, thought-provoking conversations — with large language
models taking on the primary workload.
Enter the extraordinary realm of large language models (LLMs), the brainchild of deep
learning algorithms. These powerhouses not only decipher and grasp massive amounts
of data but also possess the uncanny ability to recognize, summarize, translate, predict,
and even generate a diverse range of textual and coding content.
A virtual assistant is an intelligent software application or program that uses
artificial intelligence (AI) and natural language processing (NLP) techniques to
understand and respond to user commands and queries. It is designed to simulate
a conversation or interaction with a human assistant, providing assistance,
information, and performing tasks based on user input.
Natural Language Processing – a subfield of computer science, concerned
with the interactions between computers and human (natural) languages.
Popular virtual assistants - Amazon Alexa, Apple's Siri, Google Now and
Microsoft's Cortana
*adding English description
This slide is about the overview of a chatbot and a trend of the shift of "messenger as a platform" or "messenger as the new UI".
As Facebook unveiled that they opened their chatbot capability to the public at previous f8, a movement of chatbot (w/ AI) would be gaining traction. aligned with this, what would happen and/or what would impact on existing market.
f8を前にして、facebookの動きが色々と噂されているようだが、メッセンジャー周りの今の動きをまとめてみた。
特にbot x AIや"messenger as a platform"としての動きなど大きな流れに特化。詳細は追々やっていこうと思う。
An introduction to Dialogflow (API.AI) for the class of Pervasive Systems of University of Rome - La Sapienza, Master Degree in Computer Engineering.
Demo: https://github.com/lucamaiano/pervasive-agent
A chatterbot (also known as a talkbot, chatbot, Bot, chatterbox, Artificial Conversational Entity) is a computer program which conducts a conversation via auditory or textual methods.
To find more about it, checkout these slides. For more info, visit our website, www.appgalleryinc.com
As a data science Intern at Leapcheck Services private limited, I have developed a naive chatbot using sequence to sequence model by LSTM of RNN. Sharing the tutorial which I made explicitly for the deep learning enthusiasts to
provide them a basic insight on how chatbot can be developed with the help of recurrent neural network.
Artificial Intelligence has unleashed a wave of innovation, from effortlessly summarizing
articles to engaging in deep, thought-provoking conversations — with large language
models taking on the primary workload.
Enter the extraordinary realm of large language models (LLMs), the brainchild of deep
learning algorithms. These powerhouses not only decipher and grasp massive amounts
of data but also possess the uncanny ability to recognize, summarize, translate, predict,
and even generate a diverse range of textual and coding content.
A virtual assistant is an intelligent software application or program that uses
artificial intelligence (AI) and natural language processing (NLP) techniques to
understand and respond to user commands and queries. It is designed to simulate
a conversation or interaction with a human assistant, providing assistance,
information, and performing tasks based on user input.
Natural Language Processing – a subfield of computer science, concerned
with the interactions between computers and human (natural) languages.
Popular virtual assistants - Amazon Alexa, Apple's Siri, Google Now and
Microsoft's Cortana
*adding English description
This slide is about the overview of a chatbot and a trend of the shift of "messenger as a platform" or "messenger as the new UI".
As Facebook unveiled that they opened their chatbot capability to the public at previous f8, a movement of chatbot (w/ AI) would be gaining traction. aligned with this, what would happen and/or what would impact on existing market.
f8を前にして、facebookの動きが色々と噂されているようだが、メッセンジャー周りの今の動きをまとめてみた。
特にbot x AIや"messenger as a platform"としての動きなど大きな流れに特化。詳細は追々やっていこうと思う。
An introduction to Dialogflow (API.AI) for the class of Pervasive Systems of University of Rome - La Sapienza, Master Degree in Computer Engineering.
Demo: https://github.com/lucamaiano/pervasive-agent
A chatterbot (also known as a talkbot, chatbot, Bot, chatterbox, Artificial Conversational Entity) is a computer program which conducts a conversation via auditory or textual methods.
To find more about it, checkout these slides. For more info, visit our website, www.appgalleryinc.com
1.1 INTRODUCTION
In today’s era almost all tasks are digitalized. We have Smartphone in hands and it is nothing less than having world at your fingertips. These days we aren’t even using fingers. We just speak of the task and it is done. There exist systems where we can say Text Dad, “I’ll be late today.” And the text is sent. That is the task of a Virtual Assistant. It also supports specialized task such as booking a flight, or finding cheapest book online from various e- commerce sites and then providing an interface to book an order are helping automate search, discovery and online order operations.
Virtual Assistants are software programs that help you ease your day to day tasks, such as showing weather report, creating reminders, making shopping lists etc. They can take commands via text (online chat bots) or by voice. Voice based intelligent assistants need an invoking word or wake word to activate the listener, followed by the command. For my project the wake word is JIA. We have so many virtual assistants, such as Apple’s Siri, Amazon’s Alexa and Microsoft’s Cortana. For this project, wake word was chosen JIA.
This system is designed to be used efficiently on desktops. Personal assistant software improves user productivity by managing routine tasks of the user and by providing information from online sources to the user. JIA is effortless to use. Call the wake word ‘JIA’ followed by the command. And within seconds, it gets executed.
Voice searches have dominated over text search. Web searches conducted via mobile devices have only just overtaken those carried out using a computer and the analysts are already predicting that 50% of searches will be via voice by
2020.Virtual assistants are turning out to be smarter than ever. Allow your intelligent assistant to make email work for you. Detect intent, pick out important information, automate processes, and deliver personalized responses.
This project was started on the premise that there is sufficient amount of openly available data and information on the web that can be utilized to build a virtual assistant that has access to making intelligent decisions for routine user activities.
This Presentation will give you an overview about Artificial Intelligence : definition, advantages , Categories of AI, Types of AI, disadvantages , benefits , applications .
We hope it to be useful .
A virtual personal assistant (VPA) is a software application or program that uses artificial intelligence (AI) technologies to provide various services and assistance to individuals. VPAs are designed to understand natural language commands and queries and perform tasks based on those instructions. They can be accessed through various devices such as smartphones, tablets, smart speakers, and computers.
The primary purpose of a virtual personal assistant is to simplify and streamline everyday tasks for users. They can perform a wide range of functions, including:
Voice Recognition: VPAs can understand and interpret spoken commands and respond accordingly. They utilize advanced voice recognition technology to accurately comprehend user instructions.
Task Management: VPAs can manage tasks, schedules, and reminders. They can create, update, and delete appointments, set alarms, and send notifications to ensure users stay organized and on top of their commitments.
Information Retrieval: VPAs have access to vast amounts of information and can retrieve data from the internet or other sources. They can provide users with weather updates, news briefings, sports scores, stock market information, and more.
Web Browsing and Search: VPAs can perform internet searches on behalf of the user, providing relevant search results and answering questions based on available information.Information Retrieval: VPAs have access to vast amounts of information and can retrieve data from the internet or other sources. They can provide users with weather updates, news briefings, sports scores, stock market information, and more.
Web Browsing and Search: VPAs can perform internet searches on behalf of the user, providing relevant search results and answering questions based on available information.
Personalized Recommendations: VPAs can learn user preferences over time and offer personalized recommendations for various aspects of life, such as music, movies, books, restaurants, and more.
Communication: VPAs can handle communication tasks such as making phone calls, sending text messages, and composing emails. They can also manage contacts and facilitate conference calls.
Smart Home Control: With integration into smart home devices and platforms, VPAs can control connected devices like lights, thermostats, security systems, and appliances, allowing users to manage their homes through voice commands.
Travel Assistance: VPAs can help with travel arrangements, including flight bookings, hotel reservations, and providing information about local attractions, directions, and transportation options.
Language Translation: VPAs equipped with language translation capabilities can assist in translating words, phrases, or sentences between different languages, making them valuable for international travelers or language learners.
Entertainment and Leisure: VPAs can play music, podcasts, audiobooks, and even entertain users with jokes, trivia, or interactive games.
A Translation Device for the Vision Based Sign Languageijsrd.com
The Sign language is very important for people who have hearing and speaking deficiency generally called Deaf and Mute. It is the only mode of communication for such people to convey their messages and it becomes very important for people to understand their language. This paper proposes the method or algorithm for an application which would help in recognizing the different signs which is called Indian Sign Language. The images are of the palm side of right and left hand and are loaded at runtime. The method has been developed with respect to single user. The real time images will be captured first and then stored in directory and on recently captured image and feature extraction will take place to identify which sign has been articulated by the user through SIFT(scale invariance Fourier transform) algorithm. The comparisons will be performed in arrears and then after comparison the result will be produced in accordance through matched key points from the input image to the image stored for a specific letter already in the directory or the database the outputs for the following can be seen in below sections. There are 26 signs in Indian Sign Language corresponding to each alphabet out which the proposed algorithm provided with 95% accurate results for 9 alphabets with their images captured at every possible angle and distance.
Introduction to Artificial Intelligence describing domains of AI including machine learning , deep learning , natural language processing , speech recognition.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
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About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
Hierarchical Digital Twin of a Naval Power SystemKerry Sado
A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.
13. Introduction
• Artificial Intelligence when used with machines, it shows us the capability of
thinking like humans. We have Smartphone in hands and it is nothing less
than having world at our finger tips. These days we aren’t even using
fingers. We just speak of the task and it is done. As the voice assistant is
using Artificial Intelligence hence the result that it is providing are highly
accurate and efficient. The assistant can help to reduce human effort and
physical contact with the machine.
Z
01
14. ABSTRACT
We are familiar with many existing voice assistants like Alexa, Siri, Google
Assistant, Cortona which uses concept of language processing, and voice
recognition. They listens the command given by the user as per their
requirements and performs that specific function in a very efficient
manner.
But for using these assistants one should have an account( like Google
account for Google assistants, Microsoft account for Cortona) and can
use it with internet connection only because these assistants are going to
work with internet connectivity. They are integrated with many devices like
phones, laptops, and speakers etc.
Jarvis is different from other traditional assistants in terms that it is specific to
desktop and user does not need to make an account To use this, it does
not require any internet connection while getting the instructions to
perform any offline task
15. Problem Statement
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02
The existing assistants only work when there is
internet connection.
And the email account is mandatory to use it
These assistants does provide some additional
features like virtual mouse, password encryption and
user’s to personalize according to their
convenient(Basic self learn ).
16. Existing projects
03
There are number of voice assistants in the market with
their own features. But these doesn’t run at offline
These assistants runs when one should have an account
(like Google account for Google assistant, Microsoft
account for Cortana).
And can use it with internet connection only because
these assistants are going to work with internet
connectivity.
17. PROPOSED
Jarvis is different from other traditional voice assistants
in terms that it is specific to desktops and the user does
not need to make an account to use this, it does not
require any internet connection while getting the
instructions to perform any specific offline task.
With the advancement JARVIS can perform any task
with same effectiveness.
It became easier to send emails without typing any word,
Search on Google without opening the browser, and
perform many other activities with single voice
command.
04
18. Purpose
Being capable of voice
interaction
Performing tasks with
voice
Enables users to
speak natural
language
To Work at comfort
Zone
Moving towards less
interaction
Scope
Offers more
individualized
experiences as they
get better
Need to focus on
maintaining a user
experience
Users simply cannot
see or touch a voice
interface
Adoption of AI in our
lives, shifting towards
voice assistants
IOT are giving V.A
more utility in users life
Industry experts are
predicts that every app
will integrate voice
technology in next 5
years
Smart speakers are
example of voice being
used
Applicability
05
19. Techniques Used
Machine learning
Neural Network
Artificial intelligence
06 Machine
learning
NLP
Ai
Neural
network
20. Machine learning
ML Is an AI technique that teaches
computers to learn from experiences.
ML algorithms use computational methods to
learn information directly from data without
relying on a predetermined equation as a
model.
Types of Machine learning algorithms
Supervised learning
Unsupervised learning
Reinforcement learning
Neural network is a collection of methods
used in machine learning
21.
22. Neural Network
1. Neural Network is a method in ai that
teaches computers to process data in a
way that is inspired by the human brain.
2. Type of ML process, called deep learning
3. Interconnected nodes or neurons
4. Nodes are connected through set of
inputs and outputs
5. Complex tasks are broken down into
constituent parts
24. Artificial intelligence
1. AI refers to systems that are machines that mimic human intelligence and
perform tasks and can iteratively improve themselves based on the
information they collect.
2. Ai is a process of programming a computer to make decisions for itself. This
can be done through a process of learning from data, which is then used to
make predictions or recommendations.
3. Here in our project the machine is learning and predicting output based on
the input this is the way how the AI is used.
4. face recognition and virtual mouse.
25. Start
• Live GUI for interaction will appear on screen.
Input
• It will take input through voice commands related to the task which is
required to be done
Perform
• It will perform the required task for the user like opening
notepad,searching on browser,sending mails,playing songs etc.
Exit
• It keeps on asking for the command from user until user say "QUIT".
Once the user say "QUIT",it exits.
Workflow of Jarvis
07
26. Features
Offline
Tasks
o Opens notepad & writing into it
o Copying files
o System controlling
o Plays local mp3 files
o Opens desired files & offline
applications
o Activates Virtual mouse
Online
Tasks
o Sending WhatsApp messages,
emails
o Informing you of the latest news
headlines.
o It provides the nearby addresses
(like hospital, shops, theaters,
etc.).
o Solving math’s equations.
o Wikipedia searches.
Z
08
27. Basic features :
speech recognition & speaking online &
offline
Speech recognition is a machine's ability to listen to
spoken words and identify them
analyses the sounds by breaking down the audio
finds the most probable word that fits that audio
System power control
o Shutdown
o Sleep
o Restart
messaging and calling
o Phone link app
o Calls to an entity
Contd..
Speech electrical digital Text
energy data
28. Notepad automation
Writes the text
Saves the file
coping files
Coping the selected files
Pasting into desired location
alarm & remainder
Set alarm
Note downs the reminders
launching apps
Wikipedia search , google search & YouTube search
29. Advanced features:
Face recognition protection
LBPH algorithm
Detecting the face
Training the images
Recognizing the face
s
30. Virtual mouse facility
Media pipe
OpenCV
Hand gestures
Hand tracking
Detecting the Tip ID
0. WRIST
1.THUMB_CMC
2.THUMB_MCP
3.THUMB_IP
4.THUMB_TIP
4.INDEX_FINGER_MCP
5.INDEX_FINGER_PIP
6.INDEX_FINGER_DIP
7.INDEX_FINGER_TIP
8.MIDDLE_FIINGER_MCP
9.MIDDLE_FINGER_PIP
10.MIDDLE_FINGER_TIP
11.MIDDLE_FINGER_DIP
12.MIDDLE_FINGER_TIP
13.RING_FINGER_MCP
14.RING_FINGER_PIP
15.RING_FINGER_DIP
16.RING_FINGER_TIP
17.PINKY_MCP
18.PINKY_PIP
19.PINKY_DIP
20.PINKY_TIP
37. Desired Nearby locations
o Displays the nearest places
o provides the first near place
contact number
38. Future work
1)In motor field.
2)Electric field and so on.
3)Improving efficiency of offline model.
4) Have to improve security.
5) Available for Androids
39. Comparison
o JARVIS is a personal voice assistant on
a desktop
o No account is required
o It is completely dedicated to an
individual
o It is comparatively secure because it
runs on client
o Jarvis provides the virtual mouse
o Google assistant is available in
both mobiles and desktop
o Email account is required
o It works for several clients at a
time
o It has less security because it
works on server
o It cannot support virtual mouse
Other Assistants
Jarvis
09
40. Conclusion
JARVIS is a very helpful voice assistant without any doubt as it saves
time for the user through conversational interactions, effectiveness, and
efficiency. Jarvis is a digital life assistant. It is open-source software.
Jarvis records the voice and matches it with available commands, If it
is available then the proper response is provided. This is the first voice
assistant that works in offline and self learn from the user .
Z
10
Machine learning is a process of teaching computers to learn from data, without being explicitly programmed. This process can be used to solve various tasks, such as classification, prediction, and optimization. Machine learning algorithms can be divided into three main groups: supervised learning, unsupervised learning, and reinforcement learning. Supervised learning algorithms are used when the training data contains labels that indicate the desired output for each example. Unsupervised learning algorithms are used when the training data does not contain any labels. Reinforcement learning algorithms are used when the goal is to learn how to take actions in an environment in order to maximize some reward. There are many different types of machine learning algorithms, each with its own advantages and disadvantages. Some of the most popular algorithms include support vector machines, decision trees, and neural networks. The success of machine learning depends heavily on the quality of the data used for training. If the data is of poor quality, the resulting models will be inaccurate. In addition, the choice of algorithm is important. Some algorithms are better suited for certain tasks than others. Machine learning is a rapidly growing field with many potential applications. It has been used to develop systems that can recognize objects in images, translate languages, and even beat humans at
Neural networks are a type of machine learning algorithm that are used to model complex patterns in data. Neural networks are similar to other machine learning algorithms, but they are composed of a large number of interconnected processing nodes, or neurons, that can learn to recognize patterns of input data. Neural networks are particularly well suited for tasks that are difficult for traditional machine learning algorithms, such as image recognition, natural language processing, and pattern recognition. Neural networks are composed of a large number of interconnected processing nodes, or neurons, that can learn to recognize patterns of input data. Neural networks are particularly well suited for tasks that are difficult for traditional machine learning algorithms, such as image recognition, natural language processing, and pattern recognition.