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type project date 2023-02-09 context IoT university project, UNIMORE

Car Lo

IoTArduinoFlaskGCP

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.