University Project
For a university project, I collaborated with two other students to develop a system aimed at promoting eco-friendly driving habits to reduce CO2 emissions.
Our goal was to create a system that could monitor driving styles and provide real-time feedback to drivers.
Actions:
- We used an Arduino Uno, IMU, and GPS to build the hardware for the system.
- I specifically implemented a multi-layer perceptron model trained on IMU data to predict driving styles. The model was trained on a dataset of 1,000 samples, classified into categories such as hard braking, hard acceleration, and hard cornering.
- Additionally, I developed a web app using Flask and deployed it on Google Cloud. This app received POST requests from a demo app we created for the project, displaying the driving style in real time and providing feedback on how to improve it.
The system successfully monitored driving styles and provided actionable feedback to drivers, encouraging more eco-friendly driving habits and contributing to the reduction of CO2 emissions.
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