Krishi Sahayak

Our platform is an end-to-end agricultural consulting app that removes the complexity of data collection and analysis for small farmers. A farmer enters basic land information in their preferred Indian language. From there, a network of autonomous agents takes over: fetching soil health details, historical and forecast weather, market and mandi prices, and (soon) government scheme updates. Another agent discovers merchants for seeds, fertilizers, and tools. These agents clean and unify the data, then a language model produces clear crop-cycle recommendations and a ready-to-buy input list with links. All interactions run on the x402 HTTP payment standard, so farmers pay tiny per-use fees instead of juggling multiple API subscriptions, while commodity traders and vendors can pay per discovery to access insights. Farmers can also upload daily crop images for automated analysis and earn credits (future). The result is a low-friction, multilingual service that gives actionable advice and marketplace access to farmers without technical skills.

• Autonomous agent layer: Custom agents handle API calls, retries, and data cleaning for soil (AgroMonitoring), weather (OpenWeatherMap), market/mandi data (data.gov.in), and merchant listings. • LLM recommendation engine: LLM aggregates the structured data into natural-language suggestions and an array of recommended products with purchase links. • x402 integration: Every external API call and product order uses x402 micropayments, allowing secure pay-as-you-go usage with preloaded demo wallets for hackathon testing. • Backend & orchestration: Automated services coordinate agent tasks and cache results. • Frontend: React/Next.js app with clean UX, multilingual support (major Indian languages). • Hacky but effective touches: – Pre-loaded demo wallet so judges can run full flows without setup. The combination of autonomous agents, explainable AI output, and frictionless x402 payments makes sophisticated agri-intelligence accessible with just a few taps.