Eco-Alert: Paving the Way to Detect the Vehicle's Exhaust for Clean Air Through IoT Using Machine Learning

This project offers a novel solution to combat air pollution caused by vehicle emissions on roads. It combines cutting-edge Air Quality Detection Technology with powerful Machine Learning Algorithms, bolstered by the integration of IoT (Internet of Things). This system continuously and accurately monitors vehicle emissions, promptly identifying those that exceed predefined limits. IoT integration enhances system accuracy and effectiveness, while a Progressive Warning System with escalating consequences incentivizes compliance. Instant Owner Notifications via SMS or email not only raise awareness but also encourage responsible actions to reduce carbon footprints. Machine Learning algorithms, including Random Forest (RF) and Support Vector Machine (SVM), play a pivotal role in achieving this vision. The project's ultimate goal is to create a healthier, cleaner environment, fostering societal well-being.