This project aims to build a machine learning-based system that predicts weather conditions using historical climate data, supporting short-term forecasting and climate trend analysis.
Collect historical weather datasets Clean and normalize time-series data Perform exploratory climate analysis Apply regression and time-series models Train forecasting models Evaluate prediction accuracy Visualize weather trends Build a user-friendly forecasting interface Test system with recent data Document results and limitations
