Build an AI HR Chatbot with OpenAI & Python | Full Project Tutorial
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.
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