A driver-assistance system with multimodal, real-time risk analysis running end-to-end on a Raspberry Pi.

For this project, I combined my long-standing passion for automotive engineering with the academic requirements of my university studies. What started as a student research project quickly evolved into a comprehensive system for capturing and analyzing driving data to produce machine learning model outputs. The goal was to develop a copilot that intelligently helps drivers make informed decisions to make driving safer. Supervised by a CV/ADAS project manager at the Bosch Center for AI and additionally mentored by the faculty dean, who issued a recommendation letter.


For now, read more in the projects' documentation.