NexPave: ML-driven Pothole Detection & Repair Verification using YOLOv8
NexPave is an end-to-end, crowdsourced platform that streamlines the detection, verification, and repair of potholes using machine learning. It increases transparency, efficiency, and accountability in road maintenance.
🚧 Problem Statement
Pothole identification and repair is traditionally inefficient, manually driven, and lacks both transparency and accountability. There’s often no reliable way to:
Report potholes in a standardized format
Track repair status
Verify repair quality
✅ Solution Overview
NexPave offers a decentralized, ML-driven system where users can report potholes, and know whether the potholes are repaired or not.
✨ Features
Pothole Detection: YOLOv8-based object detection trained on custom datasets.
Repair Verification: Before-and-after image comparison to validate fixes.
Crowdsourced Reporting: Road users can submit images for analysis.
Transparency & Accountability: Track repair status in a verifiable way.
