This project uses support vector machines (SVM) to predict real-time air quality levels, especially focusing on PM2.5 and PM10 values. The system processes environmental data such as weather conditions and pollutant levels to generate accurate predictions. The model is tested and validated with historical data, and real-time predictions can help users prepare for unhealthy air conditions.
Call us now: +1(800) 123 4567
Email: oesus@support.com