A Python application for predicting commodity prices (e.g., Pulses, Bread) based on state, city, year, and month using a Linear Regression model. Trained on over 1 million government dataset entries, featuring efficient data processing and prediction capabilities.

Historical commodity price data in daily and monthly intervals, going back decades.

Commodities Prices API provided by Finnworlds is a data delivery format that allows you to get instantly real-time and historical commodities prices data.