🚀 AI FastAPI Project

📌 Project Overview

This project is my first step into building backend APIs for AI-based systems using FastAPI. It demonstrates how to create a simple API, manage dependencies, and run a production-style server.

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⚙️ Tech Stack

• Python
• FastAPI
• Uvicorn

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📂 Project Structure

ai_project_1/
 ├── main.py
 ├── requirements.txt
 ├── README.md
 └── .gitignore

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▶️ How to Run

1. Create Virtual Environment

python -m venv venv

2. Activate Environment

.\venv\Scripts\Activate.ps1

3. Install Dependencies

pip install -r requirements.txt

4. Run Server

uvicorn main:app --reload

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🌐 API Endpoint

Home Endpoint

GET /

Response:

{
  "message": "Hello Ansh"
}

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🎯 Key Learnings

• Hands-on experience with FastAPI
• Understanding API development workflow
• Managing Python virtual environments
• Working with dependency management

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🚀 Future Improvements

• Add database integration (MongoDB)
• Implement authentication (JWT)
• Build real-world AI endpoints