Inweon GRAMS - Grain Quality Analyzer

Overview

Inweon GRAMS is a secure, AI-powered grain quality analyzer that leverages computer vision and ML to assess rice, wheat, pulses, oilseeds, and other commodities with ~99% accuracy—all within a minute using a scanner-based workflow :contentReference[oaicite:1]{index=1}.

My Role

I led end-to-end development across multiple dimensions:

• Cloud Infrastructure: Designed and implemented backend services and APIs leveraging AWS tools for image storage, processing, and results delivery.
• Mobile App: Built a React Native app to interface with the scanner and backend, supporting both in-lab and field usage.
• ML Labeling Platform: Developed tooling and workflows for data labeling and model retraining—enabling continuous improvement of the computer vision models.
• Stripe Payments Integration: Added embedded payment support to facilitate easy transactional flows for scanning services.

Technical Highlights

• Computer Vision & ML: Processed scanner-captured images offline, automatically measuring parameters like broken %, size, and foreign matter with high fidelity :contentReference[oaicite:2]{index=2}.
• Full-stack Delivery: Delivered a seamless pipeline from cloud services to mobile interface and payment flows.
• Accuracy & Speed: Enabled agribusiness users to obtain transparent, tamper-proof grain analyses in under 1 minute :contentReference[oaicite:3]{index=3}.

Impact

• Simplified and accelerated grain quality assessments for labs and procurement centers.
• Supported multi-commodity analysis with professional-grade precision.
• Enhanced trust and operational efficiency for agritech stakeholders.

Learn More

Explore Inweon GRAMS on the product page or check out use-case insights in agritech evaluation media.