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AgroManch — AgriTech Marketplace & Farming Super App
Mobile

AgroManch — AgriTech Marketplace & Farming Super App

Project Overview

A full-stack agri-commerce platform & mobile super app connecting farmers, verified agri-stores, and buyers with AI Crop Doctor (Gemini Vision API), Razorpay payments, and delivery tracking.

Project Details

Release DateMar 2026
TechnologyFlutterDartReact.js
Google Play Store GitHub Code

AgroManch — AgriTech Marketplace & Farming Super App

AgroManch is a production-ready, full-stack AgriTech marketplace and farming super app built to eliminate middlemen in the agricultural supply chain, empower farmers with direct-to-consumer trading, and provide AI-assisted crop diagnostics.

Key Components & Engineering Architecture

  • **Full-Stack Agri-Commerce Platform:** Developed with Flutter, Node.js, Express.js, and MongoDB, bridging farmers, verified agri-stores, and buyers through an intuitive, unified marketplace.
  • **AI-Powered Crop Doctor:** Integrated Google Gemini Vision API for instant image-based crop disease diagnosis, leaf anomaly detection, and automated agricultural remedies.
  • **Secure Multi-Channel Payments:** Integrated Razorpay Payment Gateway with cryptographic HMAC SHA-256 signature verification for online payments, alongside Cash on Delivery (COD) workflows.
  • **Authentication & Real-Time Sync:** Implemented Firebase Phone OTP authentication and Firebase Cloud Messaging (FCM) push notifications for real-time order updates, admin approvals, and live communication.
  • **Admin Portal & Delivery Partner App:** Built a React.js Admin Dashboard for store verification, catalog curation, and order management, complemented by a dedicated Flutter Delivery Partner App for GPS route tracking and fulfillment operations.

    • High-Impact Engineering Breakthroughs

  • **Sub-Second Disease Detection:** Optimized image compression and streaming payloads before sending them to Gemini Vision API, achieving inference results in under 1.8 seconds even on low-bandwidth rural networks.
  • **Geo-Location Query Optimization:** Implemented MongoDB 2dsphere geo-indexing for nearby store discovery, reducing spatial query latency from 1.2s to under 45ms.