Clear Skies: Air Quality Forecasting

Clear Skies: Air Quality Forecasting

Richa Roy1, Lakshmi Haridasan2, Nandanaraj3 ,Neha4 ,Rinil K R5

1Department of Computer Science and Engineering, Vimal Jyothi Engineering College ,Chemperi, Kannur

2Department of Computer Science and Engineering, Vimal Jyothi Engineering College ,Chemperi, Kannur

3 Department of Computer Science and Engineering, Vimal Jyothi Engineering College ,Chemperi, Kannur

4Department of Computer Science and Engineering, Vimal Jyothi Engineering College ,Chemperi, Kannur

5Department of Computer Science and Engineering, Vimal Jyothi Engineering College ,Chemperi, Kannur

Abstract - Air Quality Forecasting uses real-time and historical data to predict future air pollution levels. It helps assess pollutant concentrations like PM2.5, PM10, NO2, SO2, CO, and O3. The system predicts air quality using GRU, LSTM, and LR models with real-time data from public sources. It provides location-based recommendations: health advice for sensitive groups and actionable measures for authorities, like traffic restrictions. An interactive chatbot answers queries, predicts AQI, offers health guidance, and suggests preventive measures. A user-friendly interface displays real-time air quality maps, forecasts, and recommendations. This system ensures accurate predictions, helps mitigate pollution effects, and supports proactive public health and environmental safety decision-making.

Key Words:  Air Quality Forecasting, Machine Learning (GRU, LSTM, LR), Real-time Data, AQI (Air Quality Index), Recommendations, Health Advice, Government Measures, Interactive Chatbot, Forecasts, Public Health & Safety.