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🧠 Backend_FastAPI_AIImageClassifier

🖼️ AI Image Classifier API

This is a backend project built with FastAPI that serves an AI-powered image classification model. It takes image input and returns predicted class labels.

🚀 Features

  • 🧠 AI model for image classification
  • 📦 REST API built using FastAPI
  • 🔄 Real-time image prediction
  • 🌐 Supabase integration for environment configuration
  • ✅ Easily extensible with new classes or model improvements

📁 Project Structure

Backend_FastAPI_AIImageClassifier/ ├── main.py # FastAPI entry point ├── model_loader.py # PyTorch model loading ├── predict.py # Prediction logic ├── supabase_client.py # (If used for auth/data) ├── .env # Environment variables ├── requirements.txt └── README.md

🛠️ Environment Setup

1. Create and activate a virtual environment

python -m venv .venv
source .venv/bin/activate        # On Windows: .venv\Scripts\activate
📦 Installed Packages
🔹 FastAPI & Server
pip install "fastapi[standard]"
pip install "uvicorn[standard]"
🔹 Environment Management (with Supabase)
pip install pydantic-settings
🔹 AI Image Classification (PyTorch, Transformers)
pip install python-multipart pillow
pip install torch torchvision transformers
▶️ Run the FastAPI Server
uvicorn main:app --host 0.0.0.0 --port 8000