May 12
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In this video, we build an AI HR Chatbot using Python, FastAPI, and the OpenAI API from scratch. The chatbot is designed to answer HR-related questions, maintain conversation memory, and respond based on predefined company policies. This project is a simple and practical introduction to building real-world AI applications using modern Python tools. Technologies used: * Python * FastAPI * OpenAI API * GPT-4o-mini * Uvicorn * python-dotenv Project features: * Virtual environment setup * OpenAI API integration * Chat memory handling * FastAPI backend creation * API testing using Swagger UI * HR assistant system prompt implementation What you’ll learn: * How to connect Python with OpenAI * Building AI chat APIs with FastAPI * Managing chatbot conversation history * Structuring AI projects professionally * Running and testing APIs locally Project workflow: 1. Create the project structure 2. Setup virtual environment 3. Install required packages 4. Configure API key 5. Build LLM response logic 6. Add chatbot memory 7. Create FastAPI endpoints 8. Run the application using Uvicorn 9. Test the chatbot in the browser Test endpoint: http://127.0.0.1:8000/docs Example questions: * How many leaves do I get? * Can I carry forward leave? This project is beginner-friendly and useful for developers interested in AI applications, chatbots, FastAPI, and OpenAI integrations. Subscribe for more AI and Python projects. #AI #Python #FastAPI #OpenAI #Chatbot #GenerativeAI #GPT4 #CodingTutorial