Chloe witnessed multiple accidents caused by poor visibility while visiting bus stops in Toronto at night. She integrated vehicle cameras, radar, and sound sensors to train a neural network model that can identify potential dangers in real-time and provide dual alerts through a mobile app and LED warning lights. Small-scale pilot testing showed a 70% reduction in accident rates.

Mentor Review
Chloe demonstrated excellence in real-time data fusion and low-latency alert design. She collaborated with STEMRise mentors to conduct extensive field optimization of the model, ensuring the alert system maintains high reliability under real road conditions.
University Admission
University of Texas at Austin
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