A web-based tool for automated rice quality grading using Convolutional Neural Networks (CNN) and Near-Infrared (NIR) imaging, aligned with Philippine National Standards for Grains (PNS/BAFS-290:2019).
- Upload rice grain images (RGB + NIR)
- Live camera capture and device selection
- Automated grading using mock CNN model output
- Visual report card with radar chart for key metrics
- Compliance with PNS/BAFS-290:2019 standards
- Exportable JSON reports
- React + Vite
- Tailwind CSS
- Recharts (Radar chart visualization)
- TypeScript
- Clone the repository
- Install dependencies:
npm install - Start the dev server:
npm run dev - Upload or capture rice sample images
- View grading results and export reports
Automated rice grading web app using CNN and NIR imaging, designed for Philippine rice standards (PNS/BAFS-290:2019). Upload or capture rice images, get instant grading, and visualize results with radar charts.
MIT