About the Project
Fruit Detection and Classification is an AI-powered computer vision project designed to help blind individuals choose the best fruit from a tray.
The system uses live capture to classify fruits into categories of quality (best, mixed, or bad).
Built with Python and OpenCV, the project demonstrates practical application of machine learning for accessibility.
The goal is to provide an assistive technology that improves independence for visually impaired individuals.
Key Features
Live camera capture
Real-time fruit classification
Quality categorization (best/mixed/bad)
Accessibility focused
Machine learning model
User-friendly interface