Awards 2024/2025
Optimizing Medical Response Time Through Deep Learning
Optimizing Medical Response Time Through Deep Learning
Optimizing Medical Response Time Through Deep Learning
The winning project is
An AI-powered accident detection system to reduce emergency response time and save lives.
The winning team is:
Nicolas François , Franck Staudt , Raphaël Olexa
This project has also been accepted to be presented at the International Conference on Artificial Intelligence, Computer, Data Sciences and Applications
The winning project is
An AI-powered accident detection system to reduce emergency response time and save lives.
The winning team is:
Nicolas François , Franck Staudt , Raphaël Olexa
This project has also been accepted to be presented at the International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA 2025) in August 2025, a truly outstanding achievement.
LEA Project: Learn-Efficiently-Artificially!
Optimizing Medical Response Time Through Deep Learning
Optimizing Medical Response Time Through Deep Learning
The runner-up project aims to change how students learn and learn from their mistakes.
The winning team is:
Maxime Doerr and Theodor Hass