Development of AI -ML based models for predicting pricesof agri-horticultural commodities such as pulses and vegetables.

This project is an Artificial Intelligence and Machine Learning solution designed to predict the market prices of agri-horticultural commodities such as pulses and vegetables. The system leverages historical market prices, weather conditions, seasonal trends, and market arrival data to generate accurate price forecasts using advanced machine learning models. The platform helps farmers, traders, and policymakers make informed decisions by providing predictive insights, historical trend analysis, and data-driven recommendations, thereby reducing financial risks and improving agricultural planning.