[Ai] Build A Object Recognition App With Python & Angular

This comprehensive course, “[AI] Create a Object Recognition Web App with Python & Angular,” is designed to empower developers with the skills to build cutting-edge AI-powered applications. By combining the power of FastAPI, TensorFlow, and Angular, students will learn to create a full-stack object recognition web app that showcases the potential of machine learning in modern web development.

Throughout this hands-on course, participants will dive deep into both backend and frontend technologies, with a primary focus on Python for AI and backend development, and TypeScript for frontend implementation. The course begins by introducing students to the fundamentals of machine learning and computer vision, providing a solid foundation in AI concepts essential for object recognition tasks.

***DISCLAIMER*** This course is part of a 3 applications series where we build the same app with different technologies including Angular, React and a cross platform Mobile App with React Native CLI. Please choose the frontend framework that fits you best.

Students will then explore the FastAPI framework, learning how to create efficient and scalable REST APIs that serve as the backbone of the application. This section will cover topics such as request handling, data validation, and asynchronous programming in Python, ensuring that the backend can handle the demands of real-time object recognition processing.

The heart of the course lies in its machine learning component, where students will work extensively with TensorFlow to build and train custom object recognition models. Participants will learn how to prepare datasets, design neural network architectures, and fine-tune pre-trained models for optimal performance. The course will also cover essential topics such as data augmentation, transfer learning, and model evaluation techniques.

On the frontend, students will utilize Angular and TypeScript to create a dynamic and responsive user interface. This section will focus on building reusable components, managing application state with services and observables, and implementing real-time updates to display object recognition results. Participants will also learn how to leverage Angular’s powerful features such as dependency injection, routing, and reactive forms to create a robust and scalable frontend application.

Throughout the course, emphasis will be placed on best practices in software development, including code organization and project structure. Students will explore Angular’s modular architecture and learn how to effectively organize their application into feature modules and shared modules. They will also gain insights into deploying AI-powered web applications, considering factors such as model serving, scalability, and performance optimization.

DOWNLOAD LINK: [Ai] Build A Object Recognition App With Python & Angular

AI_Build_a_Object_Recognition_App_with_Python_Angular.part1.rar – 995.0 MB
AI_Build_a_Object_Recognition_App_with_Python_Angular.part2.rar – 688.7 MB

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