Comparative analysis of ML and deep learning models — RF, LSTM, CNN, and hybrid CNN-LSTM — for AQI forecasting. Incorporates event-aware modeling for festivals, traffic surges, and industrial activity patterns.

A tool to extract meaningful insights from social media conversations — message patterns, sentiment trends, activity heatmaps, and more. Works across popular chat export formats.

Published research benchmarking RF, LSTM, CNN, and hybrid CNN-LSTM models for event-aware AQI prediction.