Automated Vehicle Damage Detection using Machine Learning | 360° Video AI Inspection | ML Project

This project demonstrates how Machine Learning (ML) and Computer Vision can be used to automate vehicle damage detection using 360-degree video.

🔍 Project Overview:
Input: 360° car video frames
Output: Damage detection (type + location)
Approach: Computer Vision (Object Detection Model)
📊 Key Concepts Covered:
Opportunity Evaluation (Why ML is suitable here)
CRISP-DM Business Understanding
Success Metrics (Business + ML metrics)
Solution Validation Plan
ML System Design (Architecture decisions)
Production Risks (Data Drift, Concept Drift, Latency)
💡 Business Impact:
Faster inspections
Reduced customer disputes
Improved accuracy and consistency

Machine Learning Project, Computer Vision, Damage Detection, AI in Automotive, CRISP-DM, ML System Design, Object Detection, AI Project Presentation

Видео Automated Vehicle Damage Detection using Machine Learning | 360° Video AI Inspection | ML Project канала My PM Learning Journey