SNZI – Societal Neglected Zone Identifier

Overview

SNZI is a system to detect neglected urban zones (garbage, potholes, broken roads, waterlogging, damaged infrastructure) from images and video frames using computer vision.

Tech Stack

• Backend: Flask (Python)
• ML: YOLOv8 (Ultralytics)
• Database: PostgreSQL (planned)
• Frontend: TBD

Project Structure

backend/ # Flask API, DB layer
models/ # ML training + inference wrapper
frontend/ # Web UI (to be added)
dataset/ # Dataset metadata and small samples (no full data)
docs/ # Architecture and notes
scripts/ # Utility scripts

Setup (Backend)

python -m venv .venv
source .venv/bin/activate # Windows: .\.venv\Scripts\activate
pip install -r requirements.txt
python backend/app.py

API Endpoints

• GET /health Returns service status.

• POST /upload-image Uploads an image and returns mock detections (ML integration pending).

Environment Variables

Create .env (do not commit):

DATABASE_URL=postgresql://user:password@localhost:5432/snzid
MODEL_PATH=models/yolov8_baseline.pt

Git Workflow

• Work on feature branches only.
• Open PRs to dev.
• Do not push directly to dev or main.

Notes

• This README is temporary and will be expanded later.
• Full datasets and model weights are not stored in Git.