Car Guardian - MadHacks 2024 Project

Demo

See our convolutional neural network (CNN) in action, identifying and reacting to real-time driving scenarios.

About Car Guardian

Car Guardian was developed at MadHacks 2024 to reduce road accidents caused by distracted driving. This project uses a convolutional neural network (CNN) to monitor driver behavior and issue alerts, enhancing overall road safety. Rust was chosen for its performance and reliability in embedded systems and web sockets.

Main Features

• Real-time driver monitoring and analysis
• High-performance Rust-based backend for fast processing
• Bonding with each other at MadHacks 2024

Meet the Team

Our team is made up of passionate MSOE students committed to developing innovative solutions to improve safety and sustainability.

Braden Everson

Developer & Designer

Studying: B.S. Computer Science, M.S. Machine Learning

Year: Sophomore

Salvin Chowdhury

Developer & Researcher

Studying: B.S. Computer Science

Year: Sophomore

Christian Zastrow

Project Manager & Researcher

Studying: B.S. Electrical Engineering, Minor in Physics

Year: Sophomore

Project Presentation

Explore our project presentation to understand the problem, our solution, and the technology behind Car Guardian.

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Contact Us

If you have any questions or would like to learn more about Car Guardian, please reach out to us!