The document introduces Functional IoT, which aims to create an exhaustive catalog of methodologies for strongly typed functional programming languages that can be used for embedded systems and IoT device programming. It discusses that while C/C++ are commonly used for IoT, they lack abilities like avoiding vulnerabilities, having formally verifiable specifications, and maintaining quality; and that Functional IoT will evaluate languages based on demo code running on microcontrollers to determine which languages are best suited. The goal is to determine methodologies that can help address issues like vulnerabilities, specifications, quality and efficiency.
The document discusses several open hardware and software platforms for hobbyist programmers, including Arduino, MSP430, Pinguino, mbed, FreeRTOS, ChibiOS/RT, and chopstx. Each platform is summarized, including the microcontroller or CPU used, compilers, support for networking, available development boards, and costs. Overall, the document provides an overview of popular open-source hardware and software options for hobbyist IoT development.
The document discusses introducing Protocol Buffers (protobuf) in Swift. It begins with an overview of protobuf and how it provides a compact and efficient way of serializing structured data. It then covers how to use protobuf in Swift projects - defining message types in .proto files, generating Swift code from the .proto files, and serializing/deserializing data to and from the defined message types. Key advantages of using protobuf like type safety, shared data models across platforms, and high performance are also highlighted.
Functional IoT: Programming Language and OSKiwamu Okabe
The document discusses functional programming languages for IoT applications. It describes ATS, a functional language without garbage collection that is compiled to C and supports theorem proving to safely use pointers. ATS has been used to program ESP8266 and Arduino devices. The document provides examples of errors that ATS can catch, like a variable needing to be freed or an unsolved constraint.
How we realized SOA by Python at PyCon JP 2015hirokiky
The document discusses how to realize a service-oriented architecture (SOA) using Python. It describes a case study of migrating a newspaper company's monolithic web application to microservices. Key practices covered include using Django and Django REST Framework to easily create REST APIs, tox for testing across environments, automated deployments to ElasticBeanstalk, and tools like Sentry and NewRelic for monitoring the distributed system of microservices. While SOA provides benefits, it also requires effort to manage the increased number of independent services.
The document discusses various blog posts and resources about learning Swift compiler development, including posts about the Swift compiler architecture, testing, and development environment. It also lists resources on the Swift frontend, lexer, parser, code generation to LLVM IR, SIL, types, and generics implementation.
The document provides instructions for installing the ATS2 programming language compiler on Debian Linux. It includes downloading the source code for ATS2 and its dependencies, installing prerequisite packages, compiling the compiler, and confirming installation is complete by checking the compiler version. The goal is for readers to learn to install ATS2 themselves by following the provided steps.
Metasepi team meeting #16: Safety on ATS language + MCUKiwamu Okabe
This document summarizes the key topics from meeting #16 of the Metasepi team:
1. The meeting discussed using the ATS programming language for developing Metasepi, an operating system designed with strong typing.
2. A demonstration showed running ATS code on an Arduino and mbed microcontroller platform.
3. ATS is a strongly typed language like ML that uses dependent types, linear types, and optional garbage collection to promote safe systems programming without runtime errors.
The document introduces Functional IoT, which aims to create an exhaustive catalog of methodologies for strongly typed functional programming languages that can be used for embedded systems and IoT device programming. It discusses that while C/C++ are commonly used for IoT, they lack abilities like avoiding vulnerabilities, having formally verifiable specifications, and maintaining quality; and that Functional IoT will evaluate languages based on demo code running on microcontrollers to determine which languages are best suited. The goal is to determine methodologies that can help address issues like vulnerabilities, specifications, quality and efficiency.
The document discusses several open hardware and software platforms for hobbyist programmers, including Arduino, MSP430, Pinguino, mbed, FreeRTOS, ChibiOS/RT, and chopstx. Each platform is summarized, including the microcontroller or CPU used, compilers, support for networking, available development boards, and costs. Overall, the document provides an overview of popular open-source hardware and software options for hobbyist IoT development.
The document discusses introducing Protocol Buffers (protobuf) in Swift. It begins with an overview of protobuf and how it provides a compact and efficient way of serializing structured data. It then covers how to use protobuf in Swift projects - defining message types in .proto files, generating Swift code from the .proto files, and serializing/deserializing data to and from the defined message types. Key advantages of using protobuf like type safety, shared data models across platforms, and high performance are also highlighted.
Functional IoT: Programming Language and OSKiwamu Okabe
The document discusses functional programming languages for IoT applications. It describes ATS, a functional language without garbage collection that is compiled to C and supports theorem proving to safely use pointers. ATS has been used to program ESP8266 and Arduino devices. The document provides examples of errors that ATS can catch, like a variable needing to be freed or an unsolved constraint.
How we realized SOA by Python at PyCon JP 2015hirokiky
The document discusses how to realize a service-oriented architecture (SOA) using Python. It describes a case study of migrating a newspaper company's monolithic web application to microservices. Key practices covered include using Django and Django REST Framework to easily create REST APIs, tox for testing across environments, automated deployments to ElasticBeanstalk, and tools like Sentry and NewRelic for monitoring the distributed system of microservices. While SOA provides benefits, it also requires effort to manage the increased number of independent services.
The document discusses various blog posts and resources about learning Swift compiler development, including posts about the Swift compiler architecture, testing, and development environment. It also lists resources on the Swift frontend, lexer, parser, code generation to LLVM IR, SIL, types, and generics implementation.
The document provides instructions for installing the ATS2 programming language compiler on Debian Linux. It includes downloading the source code for ATS2 and its dependencies, installing prerequisite packages, compiling the compiler, and confirming installation is complete by checking the compiler version. The goal is for readers to learn to install ATS2 themselves by following the provided steps.
Metasepi team meeting #16: Safety on ATS language + MCUKiwamu Okabe
This document summarizes the key topics from meeting #16 of the Metasepi team:
1. The meeting discussed using the ATS programming language for developing Metasepi, an operating system designed with strong typing.
2. A demonstration showed running ATS code on an Arduino and mbed microcontroller platform.
3. ATS is a strongly typed language like ML that uses dependent types, linear types, and optional garbage collection to promote safe systems programming without runtime errors.
The document discusses Airbnb's use of Deployboard to enable a democratic deployment process where engineers deploy their own code. It argues that traditional release managers are not necessary and can slow down deployments and reduce engineer autonomy and responsibility. Deployboard integrates with GitHub and other tools to provide automated builds, deployments, rollbacks and alerts so that engineers have all the capabilities needed to deploy their own code without specialized knowledge. This democratic process aligns with Airbnb's cultural values and has helped scale deployments as the company has grown.
John Doe
Left Margin 4”
Sincerely,
John Doe
General Manager
Enclosure
cc: File
Right Margin 1,5”
Standard Letter Closing
page number 19 from total 27 pages
stationary system corporate identity manuals & guides Brand Name Here
STATIONARY SYSTEM
Left Margin 1,5”
The stationery standards provided in the following pages are an essential part of
The Beverly Hills Hotel & Bungalows Tel: +1 310 276 2251
the logo visual identity system and are to be used by all units.
53545 Sunset Boulevard Fax: +1 310 887 2887
This document provides advice from Jason Cohen on his journey from geek to entrepreneur. It discusses various lessons he has learned along the way, including that advice should be considered in context, generalizations are often false, and one should focus on doing rather than overthinking or worrying. The document emphasizes learning through experience and trial and error over rigidly following rules or conventional wisdom.
Automate, Integrate, Innovate - AI-powered GitLab CI for Drupal module develo...DOCOMO Innovations, Inc.
Session video: https://bit.ly/4alKaad
# # # # #
We will embark on a journey into the future of code review, where the integration of ChatGPT and GitLab CI revolutionizes the Drupal module development process. Discover how the fusion of automation, seamless integration, and cutting-edge innovation is reshaping the way we ensure code quality.
Key Highlights:
1. Automation Redefined: Explore how AI-driven code review automates routine tasks, from identifying potential bugs to beyond coding standards, freeing up valuable developer time.
2. Integration Mastery: Witness the seamless integration of ChatGPT within GitLab CI pipelines, allowing for real-time AI-powered code analysis and feedback.
3. Innovation Unleashed: Dive into the innovative solutions that emerge when human intelligence collaborates with AI, including enhanced code readability and faster development cycles.
What to Expect:
- Live demonstrations showcasing the ChatGPT-GitLab CI integration in action.
- Insights into the benefits and challenges of incorporating AI into the development workflow.
- Real-world success stories of teams already leveraging this AI-powered approach.
- Practical tips for implementing AI-powered code reviews.
Join us for an engaging session that explores the possibilities and advantages of AI-powered GitLab CI, and learn how you can automate, integrate, and innovate your way to superior code quality and development efficiency. Don't miss the opportunity to shape the future of your Drupal development process!
In questa sessione a quattro mani introdurremo alcuni dei refactorings più comuni e più facilmente applicabili nell'utilizzo quotidiano, e vedremo come risolverli in maniera facile, veloce ed indolore utilizzando ReSharper e pochi colpi di tastiera.
Incidentalmente, inseriremo nel mentre un pò di patterns e di Test-Driven Development, perchè "se non è testato, allora non funziona"
20210809 story book_driven_new_system_development_nuxtjs虎の穴 開発室
The document discusses using Storybook to develop a new system. It begins with an introduction and agenda, then describes Storybook and how it can be used to develop UI components separately from pages. It explains how to install Storybook, including for Nuxt.js projects. Methods for Storybook-driven development are presented, such as creating screen designs and specifications in Markdown. Benefits include parallel documentation creation and API mocking. In summary, Storybook may help reduce overall development costs while improving component management.
Automate, Integrate, Innovate - AI-powered GitLab CI for Drupal module develo...DOCOMO Innovations, Inc.
Session video: https://bit.ly/4boc1HS
# # # # #
Session Description:
In this enlightening session, we will embark on a journey into the future of code review, where the integration of ChatGPT and GitLab CI revolutionizes the software development process. Discover how the fusion of automation, seamless integration, and cutting-edge innovation is reshaping the way we ensure code quality.
Key Highlights:
1. Automation Redefined: Explore how AI-driven code review automates routine tasks, from identifying potential bugs to enforcing coding standards, freeing up valuable developer time.
2. Integration Mastery: Witness the seamless integration of ChatGPT within GitLab CI pipelines, allowing for real-time AI-powered code analysis and feedback.
3. Innovation Unleashed: Dive into the innovative solutions that emerge when human intelligence collaborates with AI, including enhanced code readability and faster development cycles.
What to Expect:
- Live demonstrations showcasing the ChatGPT-GitLab CI integration in action.
- Insights into the benefits and challenges of incorporating AI into your development workflow.
- Real-world success stories of teams already leveraging this AI-powered approach.
- Practical tips for implementing AI-powered code reviews in your own projects.
Join us for an engaging session that explores the possibilities and advantages of AI-powered GitLab CI, and learn how you can automate, integrate, and innovate your way to superior code quality and development efficiency. Don't miss the opportunity to shape the future of your software development process!
Gen AI: tech du-jour or the next big thing?massimoreferre
Is generative AI a fundamental improvement in our day-by-day? Or is it just the cool tech trend which shall pass? Are generative AI assistants useful? Can they make us more productive? Can we trust them? Are developers going to be replaced? In this session Massimo will share his perspective on the new opportunities and new challenges that generative AI is bringing to the table.
Fighting with Waste Driven Development - XP Days Ukraine 2017Lemi Orhan Ergin
This document discusses lean thinking for software developers. It begins by outlining some common mindsets in software development that lead to waste, such as being overconfident and not having enough time for testing and refactoring. It then discusses various types of waste found in software development processes. The document advocates adopting a lean mindset to maximize value for customers by removing waste through practices like test-driven development, refactoring continuously, and making codebases clean through frequent short releases. It concludes by discussing the need for changes in culture and mindset to fully embrace lean software development.
The document discusses component-based approaches in React and TypeScript. It explains how to pass props between components, with some components being stateful and others being stateless. Components are described as the building blocks of single-page applications, handling discrete parts of the view with separation of concerns.
How To Do Kick-Ass Software Development, by Sven PetersZeroTurnaround
The document discusses how to do kick-ass software development through agile practices like using Java, improving as a team, collaborating well, automating tasks, and building a kick-ass culture. It emphasizes delivering high quality software quickly through a co-located team with simple workflows, chat for communication, continuous integration, handling flaky tests, and deploying with a single button press. The overall message is that focusing on developer happiness, customer satisfaction, and continual improvement will result in kick-ass software development.
This document provides design guidelines for a coding platform, including color palettes, typography, buttons, fields, boxes, progress indicators, and other interface elements. It specifies colors, sizes, states, and additional details to maintain a consistent and user-friendly design across the platform.
This document provides design guidelines and style specifications for a coding platform. It includes color palettes, typography styles, dimensions for buttons, boxes and other elements, and examples of forms, progress indicators, and other interface components. Specifications are given for colors, sizes, spacing, states like hover and active, and more to maintain a consistent user interface design.
Chatbots e Musica: Como criar um Digital Assistant para o meu Spotify?Eliel Roger
The document discusses creating a digital assistant for Spotify that can understand a user's feelings and recommend songs based on their mood. It explains key concepts like utterances, entities, intents that would allow a chatbot called MAESTRO to understand statements like "I am feeling over the moon" and search Spotify for appropriate music. The summaries provide high-level information about building skills for a digital assistant and integrating it with services like Spotify to enable mood-based music recommendations.
User Story Refinement is the one "background" ceremony that most often gets neglected and yet no successful solution in agile is possible without healthy user stories.
This document discusses Core ML, an Apple framework for running machine learning models on Apple devices. It provides an overview of Core ML, how machine learning models are used with Core ML, and different approaches for creating models, including using pre-trained models, using the Create ML tool in Xcode, or building models from scratch using libraries like TensorFlow. It also provides clarification around common machine learning terms and their relationship to Core ML. The document encourages trying out Create ML to build a custom image classification or recommendation model in order to better understand Core ML.
The document discusses Airbnb's use of Deployboard to enable a democratic deployment process where engineers deploy their own code. It argues that traditional release managers are not necessary and can slow down deployments and reduce engineer autonomy and responsibility. Deployboard integrates with GitHub and other tools to provide automated builds, deployments, rollbacks and alerts so that engineers have all the capabilities needed to deploy their own code without specialized knowledge. This democratic process aligns with Airbnb's cultural values and has helped scale deployments as the company has grown.
John Doe
Left Margin 4”
Sincerely,
John Doe
General Manager
Enclosure
cc: File
Right Margin 1,5”
Standard Letter Closing
page number 19 from total 27 pages
stationary system corporate identity manuals & guides Brand Name Here
STATIONARY SYSTEM
Left Margin 1,5”
The stationery standards provided in the following pages are an essential part of
The Beverly Hills Hotel & Bungalows Tel: +1 310 276 2251
the logo visual identity system and are to be used by all units.
53545 Sunset Boulevard Fax: +1 310 887 2887
This document provides advice from Jason Cohen on his journey from geek to entrepreneur. It discusses various lessons he has learned along the way, including that advice should be considered in context, generalizations are often false, and one should focus on doing rather than overthinking or worrying. The document emphasizes learning through experience and trial and error over rigidly following rules or conventional wisdom.
Automate, Integrate, Innovate - AI-powered GitLab CI for Drupal module develo...DOCOMO Innovations, Inc.
Session video: https://bit.ly/4alKaad
# # # # #
We will embark on a journey into the future of code review, where the integration of ChatGPT and GitLab CI revolutionizes the Drupal module development process. Discover how the fusion of automation, seamless integration, and cutting-edge innovation is reshaping the way we ensure code quality.
Key Highlights:
1. Automation Redefined: Explore how AI-driven code review automates routine tasks, from identifying potential bugs to beyond coding standards, freeing up valuable developer time.
2. Integration Mastery: Witness the seamless integration of ChatGPT within GitLab CI pipelines, allowing for real-time AI-powered code analysis and feedback.
3. Innovation Unleashed: Dive into the innovative solutions that emerge when human intelligence collaborates with AI, including enhanced code readability and faster development cycles.
What to Expect:
- Live demonstrations showcasing the ChatGPT-GitLab CI integration in action.
- Insights into the benefits and challenges of incorporating AI into the development workflow.
- Real-world success stories of teams already leveraging this AI-powered approach.
- Practical tips for implementing AI-powered code reviews.
Join us for an engaging session that explores the possibilities and advantages of AI-powered GitLab CI, and learn how you can automate, integrate, and innovate your way to superior code quality and development efficiency. Don't miss the opportunity to shape the future of your Drupal development process!
In questa sessione a quattro mani introdurremo alcuni dei refactorings più comuni e più facilmente applicabili nell'utilizzo quotidiano, e vedremo come risolverli in maniera facile, veloce ed indolore utilizzando ReSharper e pochi colpi di tastiera.
Incidentalmente, inseriremo nel mentre un pò di patterns e di Test-Driven Development, perchè "se non è testato, allora non funziona"
20210809 story book_driven_new_system_development_nuxtjs虎の穴 開発室
The document discusses using Storybook to develop a new system. It begins with an introduction and agenda, then describes Storybook and how it can be used to develop UI components separately from pages. It explains how to install Storybook, including for Nuxt.js projects. Methods for Storybook-driven development are presented, such as creating screen designs and specifications in Markdown. Benefits include parallel documentation creation and API mocking. In summary, Storybook may help reduce overall development costs while improving component management.
Automate, Integrate, Innovate - AI-powered GitLab CI for Drupal module develo...DOCOMO Innovations, Inc.
Session video: https://bit.ly/4boc1HS
# # # # #
Session Description:
In this enlightening session, we will embark on a journey into the future of code review, where the integration of ChatGPT and GitLab CI revolutionizes the software development process. Discover how the fusion of automation, seamless integration, and cutting-edge innovation is reshaping the way we ensure code quality.
Key Highlights:
1. Automation Redefined: Explore how AI-driven code review automates routine tasks, from identifying potential bugs to enforcing coding standards, freeing up valuable developer time.
2. Integration Mastery: Witness the seamless integration of ChatGPT within GitLab CI pipelines, allowing for real-time AI-powered code analysis and feedback.
3. Innovation Unleashed: Dive into the innovative solutions that emerge when human intelligence collaborates with AI, including enhanced code readability and faster development cycles.
What to Expect:
- Live demonstrations showcasing the ChatGPT-GitLab CI integration in action.
- Insights into the benefits and challenges of incorporating AI into your development workflow.
- Real-world success stories of teams already leveraging this AI-powered approach.
- Practical tips for implementing AI-powered code reviews in your own projects.
Join us for an engaging session that explores the possibilities and advantages of AI-powered GitLab CI, and learn how you can automate, integrate, and innovate your way to superior code quality and development efficiency. Don't miss the opportunity to shape the future of your software development process!
Gen AI: tech du-jour or the next big thing?massimoreferre
Is generative AI a fundamental improvement in our day-by-day? Or is it just the cool tech trend which shall pass? Are generative AI assistants useful? Can they make us more productive? Can we trust them? Are developers going to be replaced? In this session Massimo will share his perspective on the new opportunities and new challenges that generative AI is bringing to the table.
Fighting with Waste Driven Development - XP Days Ukraine 2017Lemi Orhan Ergin
This document discusses lean thinking for software developers. It begins by outlining some common mindsets in software development that lead to waste, such as being overconfident and not having enough time for testing and refactoring. It then discusses various types of waste found in software development processes. The document advocates adopting a lean mindset to maximize value for customers by removing waste through practices like test-driven development, refactoring continuously, and making codebases clean through frequent short releases. It concludes by discussing the need for changes in culture and mindset to fully embrace lean software development.
The document discusses component-based approaches in React and TypeScript. It explains how to pass props between components, with some components being stateful and others being stateless. Components are described as the building blocks of single-page applications, handling discrete parts of the view with separation of concerns.
How To Do Kick-Ass Software Development, by Sven PetersZeroTurnaround
The document discusses how to do kick-ass software development through agile practices like using Java, improving as a team, collaborating well, automating tasks, and building a kick-ass culture. It emphasizes delivering high quality software quickly through a co-located team with simple workflows, chat for communication, continuous integration, handling flaky tests, and deploying with a single button press. The overall message is that focusing on developer happiness, customer satisfaction, and continual improvement will result in kick-ass software development.
This document provides design guidelines for a coding platform, including color palettes, typography, buttons, fields, boxes, progress indicators, and other interface elements. It specifies colors, sizes, states, and additional details to maintain a consistent and user-friendly design across the platform.
This document provides design guidelines and style specifications for a coding platform. It includes color palettes, typography styles, dimensions for buttons, boxes and other elements, and examples of forms, progress indicators, and other interface components. Specifications are given for colors, sizes, spacing, states like hover and active, and more to maintain a consistent user interface design.
Chatbots e Musica: Como criar um Digital Assistant para o meu Spotify?Eliel Roger
The document discusses creating a digital assistant for Spotify that can understand a user's feelings and recommend songs based on their mood. It explains key concepts like utterances, entities, intents that would allow a chatbot called MAESTRO to understand statements like "I am feeling over the moon" and search Spotify for appropriate music. The summaries provide high-level information about building skills for a digital assistant and integrating it with services like Spotify to enable mood-based music recommendations.
User Story Refinement is the one "background" ceremony that most often gets neglected and yet no successful solution in agile is possible without healthy user stories.
This document discusses Core ML, an Apple framework for running machine learning models on Apple devices. It provides an overview of Core ML, how machine learning models are used with Core ML, and different approaches for creating models, including using pre-trained models, using the Create ML tool in Xcode, or building models from scratch using libraries like TensorFlow. It also provides clarification around common machine learning terms and their relationship to Core ML. The document encourages trying out Create ML to build a custom image classification or recommendation model in order to better understand Core ML.
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024Sinan KOZAK
Sinan from the Delivery Hero mobile infrastructure engineering team shares a deep dive into performance acceleration with Gradle build cache optimizations. Sinan shares their journey into solving complex build-cache problems that affect Gradle builds. By understanding the challenges and solutions found in our journey, we aim to demonstrate the possibilities for faster builds. The case study reveals how overlapping outputs and cache misconfigurations led to significant increases in build times, especially as the project scaled up with numerous modules using Paparazzi tests. The journey from diagnosing to defeating cache issues offers invaluable lessons on maintaining cache integrity without sacrificing functionality.
Digital Twins Computer Networking Paper Presentation.pptxaryanpankaj78
A Digital Twin in computer networking is a virtual representation of a physical network, used to simulate, analyze, and optimize network performance and reliability. It leverages real-time data to enhance network management, predict issues, and improve decision-making processes.
Height and depth gauge linear metrology.pdfq30122000
Height gauges may also be used to measure the height of an object by using the underside of the scriber as the datum. The datum may be permanently fixed or the height gauge may have provision to adjust the scale, this is done by sliding the scale vertically along the body of the height gauge by turning a fine feed screw at the top of the gauge; then with the scriber set to the same level as the base, the scale can be matched to it. This adjustment allows different scribers or probes to be used, as well as adjusting for any errors in a damaged or resharpened probe.
Discover the latest insights on Data Driven Maintenance with our comprehensive webinar presentation. Learn about traditional maintenance challenges, the right approach to utilizing data, and the benefits of adopting a Data Driven Maintenance strategy. Explore real-world examples, industry best practices, and innovative solutions like FMECA and the D3M model. This presentation, led by expert Jules Oudmans, is essential for asset owners looking to optimize their maintenance processes and leverage digital technologies for improved efficiency and performance. Download now to stay ahead in the evolving maintenance landscape.
Software Engineering and Project Management - Software Testing + Agile Method...Prakhyath Rai
Software Testing: A Strategic Approach to Software Testing, Strategic Issues, Test Strategies for Conventional Software, Test Strategies for Object -Oriented Software, Validation Testing, System Testing, The Art of Debugging.
Agile Methodology: Before Agile – Waterfall, Agile Development.
Accident detection system project report.pdfKamal Acharya
The Rapid growth of technology and infrastructure has made our lives easier. The
advent of technology has also increased the traffic hazards and the road accidents take place
frequently which causes huge loss of life and property because of the poor emergency facilities.
Many lives could have been saved if emergency service could get accident information and
reach in time. Our project will provide an optimum solution to this draw back. A piezo electric
sensor can be used as a crash or rollover detector of the vehicle during and after a crash. With
signals from a piezo electric sensor, a severe accident can be recognized. According to this
project when a vehicle meets with an accident immediately piezo electric sensor will detect the
signal or if a car rolls over. Then with the help of GSM module and GPS module, the location
will be sent to the emergency contact. Then after conforming the location necessary action will
be taken. If the person meets with a small accident or if there is no serious threat to anyone’s
life, then the alert message can be terminated by the driver by a switch provided in order to
avoid wasting the valuable time of the medical rescue team.
Blood finder application project report (1).pdfKamal Acharya
Blood Finder is an emergency time app where a user can search for the blood banks as
well as the registered blood donors around Mumbai. This application also provide an
opportunity for the user of this application to become a registered donor for this user have
to enroll for the donor request from the application itself. If the admin wish to make user
a registered donor, with some of the formalities with the organization it can be done.
Specialization of this application is that the user will not have to register on sign-in for
searching the blood banks and blood donors it can be just done by installing the
application to the mobile.
The purpose of making this application is to save the user’s time for searching blood of
needed blood group during the time of the emergency.
This is an android application developed in Java and XML with the connectivity of
SQLite database. This application will provide most of basic functionality required for an
emergency time application. All the details of Blood banks and Blood donors are stored
in the database i.e. SQLite.
This application allowed the user to get all the information regarding blood banks and
blood donors such as Name, Number, Address, Blood Group, rather than searching it on
the different websites and wasting the precious time. This application is effective and
user friendly.
Home security is of paramount importance in today's world, where we rely more on technology, home
security is crucial. Using technology to make homes safer and easier to control from anywhere is
important. Home security is important for the occupant’s safety. In this paper, we came up with a low cost,
AI based model home security system. The system has a user-friendly interface, allowing users to start
model training and face detection with simple keyboard commands. Our goal is to introduce an innovative
home security system using facial recognition technology. Unlike traditional systems, this system trains
and saves images of friends and family members. The system scans this folder to recognize familiar faces
and provides real-time monitoring. If an unfamiliar face is detected, it promptly sends an email alert,
ensuring a proactive response to potential security threats.
Generative AI Use cases applications solutions and implementation.pdfmahaffeycheryld
Generative AI solutions encompass a range of capabilities from content creation to complex problem-solving across industries. Implementing generative AI involves identifying specific business needs, developing tailored AI models using techniques like GANs and VAEs, and integrating these models into existing workflows. Data quality and continuous model refinement are crucial for effective implementation. Businesses must also consider ethical implications and ensure transparency in AI decision-making. Generative AI's implementation aims to enhance efficiency, creativity, and innovation by leveraging autonomous generation and sophisticated learning algorithms to meet diverse business challenges.
https://www.leewayhertz.com/generative-ai-use-cases-and-applications/