ApnaAnaaj aims to solve crop value prediction problem in an efficient way to ensure the guaranteed benefits to the poor farmers. The team decided to use Machine Learning techniques on various data to came out with better solution. This solution uses Decision Tree Regression technique to predict the crop value using the data trained from authenti…

A mobile application involving machine learning to recommend crop variety and also predict crop yield.

Leveraging machine learning algorithms for accurate crop yield prediction and price estimation based on temperature, rainfall, humidity, NPK, location

Machine learning model using the Random Forest algorithm to predict crop prices and analyze future price trends.

AI-powered farming platform with crop prediction, disease diagnosis, weather insights, marketplace, and community features.

API endpoints for ML models

AgroNomics is a machine learning web application that forecasts crop prices using historical agricultural data, seasonal trends, and region-specific variables. Built with Flask and scikit-learn, it provides nationwide coverage with state- and district-level insights, enabling farmers to make accurate, data-driven market decisions.

An AI-powered Crop Minimum Support Price (MSP) Prediction Web App using XGBoost and Streamlit, with SMS alert and OTP verification via Twilio.

Kisan DSS is an AI-powered multilingual platform that helps Indian farmers make smarter decisions with real-time market prices, crop and market recommendations, weather-soil insights, voice-enabled chatbot support, and a direct crop selling marketplace.