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Krishi Setu

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Krishi Setu

Web DevelopmentCompleted

Krishi Setu – Farmers Service Platform

Krishi Setu (Farmers Bridge) is a comprehensive platform designed to empower farmers with data-driven insights and market intelligence. The system combines machine learning-based crop price prediction with a user-friendly interface to help farmers make informed decisions about planting, harvesting, and selling their crops. The ML models analyze historical price data, weather patterns, seasonal trends, and market demand to predict future crop prices with accuracy. Farmers can access price forecasts, market trends, and connect directly with buyers through the platform. Built with Flask for the backend and MongoDB for data storage, the platform provides real-time recommendations and personalized insights based on crop type, location, and season. The TensorFlow and Scikit-learn models power the prediction engine, processing thousands of data points to generate actionable forecasts.

1. Data Collection: Historical crop prices, weather data, and market trends collected from various sources. 2. Feature Engineering: Extract relevant features including seasonal patterns, weather variables, and market indicators. 3. Model Training: TensorFlow and Scikit-learn models trained on historical data to learn price patterns. 4. Price Prediction: Models generate forecasts for different crops based on current market conditions. 5. User Interface: Farmers access predictions and recommendations through Flask web interface. 6. Database: MongoDB stores user profiles, historical data, and prediction results. 7. Buyer Connection: Platform connects farmers with potential buyers for direct transactions.

ML Price Prediction: Advanced models predict future crop prices using historical data
Market Insights: Real-time market trends and demand analysis
Weather Integration: Weather patterns factored into price predictions
Direct Buyer Connection: Farmers can connect directly with buyers
User Profiles: Personalized recommendations based on crop type and location
Responsive Design: Mobile-friendly interface accessible in rural areas
FlaskMongoDBTensorFlowScikit-learn