Aldrine Lennart Yap
EMMA
An IoT system focused on monitoring air quality to be broadcast to the public. The hardware is a remote air quality sensing device built with an Arduino microcontroller kit, a GSM module for sending messages, and gas sensors to measure CO, NOx, and C6H6 concentrations. For data visualization, a web application was built on top of the MEAN (MongoDB, Express.js, AngularJS, Node.js) stack and C3.js for data plotting. This project served as my dissertation for university along with my teammates.