🚗 Car Condition Detection API (FastAPI + YOLO)

This project is a FastAPI-based REST API that uses a YOLO model to detect the condition of a car (clean, dirty, damaged, or both).
It classifies an uploaded image into one of four categories based on detected objects (car, dirt, rust, dent, scratch).

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📦 Features

• FastAPI backend with /check endpoint (POST).
• Accepts image upload (.jpg, .png).
• Uses YOLO model for object detection.
• Returns classification result:
  • clean_car
  • dirty_car
  • damaged_car
  • damaged_dirty_car

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🛠 Installation

1️⃣ Prerequisites

Python 3.10 (recommended)
Check version:

python --version

2️⃣ Clone the Repository

git clone https://github.com/AlisherKaziz/AI_InDrive.git
cd AI_InDrive

3️⃣ Create Virtual Environment

python -m venv .venv

Activate the environment

4️⃣ Install Dependencies

pip install -r requirements.txt

🚀 Run Project

python -m uvicorn main:app