AgriLenses is a Smart India Hackathon 2025 solution for small and marginal farmers that provides multilingual, voice-enabled, AI-powered crop advisory using soil health, weather, and market data with offline IVR/SMS support.
Core technologies, libraries, and frameworks powering this project.
Built for Smart India Hackathon 2025 to solve real farming problems with practical AI and offline-first delivery.
Hackathon: Smart India Hackathon 2025
Problem Statement ID: 25010
Title: Smart Crop Advisory System for Small and Marginal Farmers
Theme: Agriculture, FoodTech and Rural Development
Category: Software
Team: Quantum Crew
Demo Video: https://www.canva.com/design/DAGy0NCssmw/Si7NwvVs-ENCFGAGJU0lsQ/watch
AgriLenses is a smart advisory platform that helps farmers decide what to grow, when to irrigate, how to respond to pests, and where to sell for better prices.
The system combines:
Most small and marginal farmers face three practical issues:
AgriLenses addresses this by providing one integrated, local-language advisory flow that is usable even without stable internet.
Farmers can provide inputs through:
The AI engine combines multiple signals to generate actionable advice:
Advice is delivered in formats that are practical for field use:
I focused on building a practical software architecture that can move from hackathon prototype to deployable product:
The solution is feasible because it uses a modular architecture:
This allows phased rollout from district pilots to broader state-level deployment.
Based on cited pilot studies and reports:
Beyond metrics, the biggest impact is accessibility: farmers receive advice in their own language and through channels they already use.
AgriLenses demonstrates my ability to design real-world, impact-focused AI products with clear system boundaries, offline-first constraints, and multilingual user experience. It reflects practical SDE strengths in architecture, data integration, model-driven workflows, and product feasibility for national scale.
