NexPave-pothole-detection

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

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✅ Solution Overview

NexPave offers a decentralized, ML-driven system where users can report potholes, and know whether the potholes are repaired or not.

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✨ 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.

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🚀 Usage

Run Pothole Detection

python3 test_inference.py

Run Repair Verification

python3 verify_repair.py

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📜 License

© 2025 kaiz001. All Rights Reserved.
This project is released under a Proprietary License.
Redistribution or commercial use is not permitted without explicit permission.