A Benchmark of Classical and Deep Learning Models for Agricultural Commodity Price Forecasting on A Novel Bangladeshi Market Price Dataset

Build a robust automated pipeline for fetching and preprocessing South Asian agricultural commodity price data. A developer should create a standardized library that allows researchers to pull this specific AgriPriceBD dataset and train baseline models like ARIMA or LSTM.

Suggested repo: agri-forecast-bd

"Democratizing agricultural commodity forecasting with open datasets."

Estimated effort: 12h