type project date 2023-02-09 context IoT university project, UNIMORE
Car Lo
For a university project, I collaborated with two other students on a system promoting eco-friendly driving habits to reduce CO₂ emissions: monitor driving style, give the driver real-time feedback.
What I did:
- Built the hardware around an Arduino Uno with IMU and GPS.
- Implemented a multi-layer perceptron trained on IMU data (~1,000 labeled samples) to classify driving events: hard braking, hard acceleration, hard cornering.
- Developed a Flask web app deployed on Google Cloud that received readings from our demo app and displayed the driving style in real time, with suggestions on how to improve it.