Applied prototype
Mandi Price Forecasting
Agricultural price forecasting with historical mandi data and seasonal patterns.
Problem & contribution
I built an agricultural commodity price forecasting model using historical mandi data and seasonal patterns, exploring how time-dependent price data can support forecasts.
Modeling approach
The modeling scope combines historical price information and seasonal patterns. A specific winning algorithm or dataset period is not established in the available record.
Results & available evidence
The available record documents the forecasting task. Measured forecast accuracy and a public evaluation artifact are not available.
Scope documented in my résumé. No public performance benchmark is claimed.
Limitations & evaluation next steps
A reproducible evaluation should record the commodity, market, date range, and missing-data treatment; use a chronological holdout; compare against naïve and seasonal baselines; and report MAE/RMSE by forecast horizon. These are proposed steps, not reported experiment results.