Telhan Sathi
Telhan Sathi is an AgriTech platform built during Smart India Hackathon 2025 to improve profitability in oilseed farming. It connects farmers directly with buyers through real-time auctions, provides price forecasting using ARIMA-based models, and integrates IoT sensors for field monitoring. The system reduces middlemen dependency and helps farmers make informed decisions on crop selection and pricing.
Problem
Indian farmers are shifting away from oilseed crops toward paddy and sugarcane due to assured procurement and price stability. Oilseeds are grown in marginal regions with limited market access, no direct buyer connections, and heavy middlemen exploitation. Farmers lack reliable crop economics data and government support visibility, leading to low confidence in oilseed cultivation and increased dependence on edible oil imports.
Solution
Built a farmer-centric marketplace that connects oilseed farmers directly with buyers through real-time auctions, eliminating middlemen. The platform uses ARIMA models to forecast crop prices for better planning, provides a crop economics dashboard comparing oilseeds versus traditional crops, and integrates ESP32 IoT sensors for real-time field monitoring with weather alerts. The Flask backend handles live bidding via SocketIO, role-based authentication with OTP verification, and structured data storage using SQLAlchemy and PostgreSQL.
Features
- •Real-time auction system with live bidding and counter-offers
- •Price forecasting using ARIMA models for crop planning and ROI analysis
- •IoT-based field monitoring using ESP32 sensors for temperature, humidity, and soil moisture
- •Crop economics dashboard comparing profitability of oilseeds with traditional crops
- •Real-time chat system between farmers and buyers using Flask-SocketIO
- •Role-based authentication for farmers and buyers with OTP verification
- •Secure data handling and persistence using PostgreSQL with SQLAlchemy ORM
Project Gallery
Farmer Dashboardt
Real-Time Auction
Price Forecasting
IoT Field Monitoring