https://pabcal.github.io/accidentDetection-webpage/

Accident Detection System

This project includes a FastAPI backend and a simple HTML/JS frontend.

1) Create and activate a virtual environment

Windows (PowerShell):

python -m venv .venv .venv\Scripts\Activate

2) Install requirements

pip install -r backend/requirements.txt

3) Run the backend

cd backend
uvicorn main:app --reload --host 127.0.0.1 --port 8000

Backend will be available at http://127.0.0.1:8000.

4) Open the frontend

Option A: Open frontend/index.html directly in your browser.

Option B: Serve it locally:

cd ../frontend
python -m http.server 8080
# Open http://localhost:8080

Using the app

• Upload a video file. The backend processes it and returns frames with detections.

Notes

• Ensure the backend is running before opening the frontend.
• If you use an external AI service (e.g., Roboflow), configure the API key as required by backend/main.py.
• Supported video formats typically include MP4, AVI, and MOV.