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Manorama Krishi Rakshak – AI-Powered Agri Supply Chain Platform
Full Stack EngineerLive Demo

Overview
A full-stack agri-tech platform built to digitally connect farmers, buyers, transporters, and Self Help Groups (SHGs) into a unified agricultural commerce ecosystem. The platform streamlines crop trading, logistics coordination, certification verification, and AI-assisted farmer support, enabling transparent and efficient farm-to-market operations through role-based workflows and intelligent automation.
Key Features
- ▹Multi-role platform supporting Farmers, Buyers, Transporters, and SHGs
- ▹Role-based authentication and authorization system with secure workflows
- ▹AI-powered crop disease and farming assistance integrated using Gemini API
- ▹Farmers can list crops, dairy products, and certifications digitally
- ▹Buyer marketplace for discovering verified farmers and agricultural products
- ▹Certification visibility system ensuring trust and transparency for buyers
- ▹Order management workflow with quantity-based purchase requests
- ▹Farmer approval system for accepting or rejecting buyer orders
- ▹Transporter bidding mechanism for logistics and delivery coordination
- ▹Buyer-side transporter selection and shipment tracking workflow
- ▹Delivery lifecycle management including pickup and delivery confirmations
- ▹Scalable backend APIs and centralized Supabase-powered data management
- ▹Mobile-first responsive experience optimized for rural and agricultural users
Technologies Used
React Native ExpoNode.jsSupabaseGemini APIJWT AuthenticationRole-Based Access ControlREST APIsCloud Storage
Challenges
Designing a scalable workflow system capable of managing multiple user roles and real-time order transitions across farmers, buyers, and transporters. Building trust-driven commerce through certification verification while maintaining smooth logistics coordination and AI-assisted agricultural support for non-technical rural users.
Key Learnings
Gained deep experience in architecting role-based multi-user platforms, designing real-world supply chain workflows, and integrating AI capabilities into production-grade mobile applications. Improved expertise in mobile-first system design, backend API orchestration, workflow automation, and building scalable agri-tech solutions for large-scale rural adoption.
