Air Pollution and Traffic Monitoring Device based on ML and IOT

In this modern world air pollution become a major problem which cause direct impact on environment and human health. Where another issue of human violation and traffic jams also become primary focus for government to solve. Industrialization and increasing number of vehicles and firms are the primary source of pollution as well as traffic jams. This emission from vehicles cannot be fully dodged, but it definitely can be organized. The aim of the research reported here is the research of applicability of machine learning methods with the help of Internet of Things (IoT) devices for air quality, human violation and traffic monitoring. Obtain the solution from combining the IoT devices with a new era machine learning technique to make prediction of air pollution and traffics. The aim of project is to develop a device which predicts and monitor air quality as well as traffic jams. The device is in 3D-hexagonal shape where at bottom various sensors to measure pollution and above that 4-advance camera set up to measure traffics in each direction. Above that Solar panels for power supply for device and at top a hanger to attach with the pole. Devices placed in each cities for monitoring and it also accessible for everyone (via App) to know the current status.