RoadIQ 🚧🧠

AI-Powered Road Damage Detection & Repair Priority System
Samved – A Smart Governance Hackathon

---

📌 Problem Statement

Road Condition Monitoring System: automated detection, reporting, prioritization, and monitoring of road conditions (potholes, cracks) using computer vision and data analytics.

---

✅ Features

• Detects road damage (potholes / cracks) from image/video
• Severity estimation (Low / Medium / High)
• Priority scoring for repair planning
• Report storage + status tracking
• Admin dashboard for monitoring and analytics

---

🏗️ Architecture (High Level)

User Upload (Image/Video + Location)
→ FastAPI Backend
→ YOLO + OpenCV Inference Service
→ Database (Reports + Status)
→ Dashboard (Streamlit/React)

---

🛠️ Tech Stack

AI/ML: Python, OpenCV, YOLO (PyTorch)
Backend: FastAPI
Dashboard: Streamlit
Database: PostgreSQL / MongoDB

---

📁 Project Structure

RoadIQ/
│── README.md
│── docs/
│── src/
│── tests/
│── requirements.txt