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.
🚀 Usage
Run Pothole Detection
python3 test_inference.py
Run Repair Verification
python3 verify_repair.py
📜 License
© 2025 kaiz001. All Rights Reserved.
This project is released under a Proprietary License.
Redistribution or commercial use is not permitted without explicit permission.
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