Car Diagnostic Scanner POC

Computer Vision-based Gen AI System for Car Damage Detection

Screenshots

Old version

A proof-of-concept application that uses computer vision to analyze car images for potential damages or issues.

• Backend: Python
• Frontend: Next.js (connected via API)

Features

• 🚗 Upload car images for diagnostic analysis
• 🔍 Specialized TensorFlow model for damage detection
• 📊 Visual annotations highlighting detected issues
• 🗃️ Database integration for car make/model tracking
• 📁 CSV upload capability for bulk car data

Technologies Used

• Backend: Flask (Python)
• Frontend: Next.js (connected via API)
• Computer Vision: Roboflow, TensorFlow, OpenCV
• Database: SQLite (with SQLAlchemy ORM)
• Image Processing: Supervision library
• API: RESTful endpoints for frontend communication

Setup Instructions

Prerequisites

• Python 3.11+
• Node.js (for frontend)
• Roboflow API key (store in .env file)