[ಕನ್ನಡ] Build a Full Stack AI Powered Code Explainer Application Using JavaScript | MicroDegree
Автор: MicroDegree ಕನ್ನಡ
Загружено: 2025-12-23
Просмотров: 378
Build an AI Code Explainer – Full Stack Project from Scratch using OpenAI | Build Your First Full Stack AI App in 2025 | OpenAI API Project for Beginners: Step-by-Step | How to Build an AI Code Assistant with JavaScript
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In this step-by-step full-stack tutorial, you will learn how to build a production-ready AI Code Explainer from scratch using the most in-demand web technologies of 2025. This real-world AI project is perfect for your developer portfolio, covering everything from the initial problem statement to a fully functional implementation. For the frontend, we use HTML, CSS, and vanilla JavaScript to create a clean, responsive user interface. On the backend, we build a robust server using Node.js and Express.js to handle secure API requests and manage data flow.
You will see exactly how to integrate the OpenAI SDK to harness the power of artificial intelligence, allowing your app to analyze and explain complex code instantly. This comprehensive guide is designed for beginners and intermediate developers who want to master full-stack AI engineering and understand the logic behind modern AI-powered tools like ChatGPT clones and AI agents. By the end of this video, you will have a working AI assistant and a deep understanding of how to build a real-world AI applications from zero.
00:00 | Introduction to the Full Stack AI Code Explainer
01:22 | How the AI Logic Works: Frontend to Backend Flow
03:48 | The AI Tech Stack: HTML, CSS, JS, Node.js & Express
05:06 | Project Setup & Initializing the Node.js Environment
06:32 | Installing OpenAI SDK & Express Dependencies
09:27 | Securing your OpenAI API Key with Environment Variables
11:01 | Building the Frontend UI with HTML & CSS
13:52 | JavaScript Frontend Logic: Sending Data to the AI
20:43 | Creating the Backend Server with Node.js & Express
25:30 | Integrating the OpenAI SDK & Chat Completion
33:39 | Final Project Test: Explaining Code in Real-Time
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