Kevin found that in the silent library environment, many classmates were unwilling to write text diaries to express their feelings. He decided to use AI to make journaling more engaging and fun. He integrated voice recognition and emotion analysis models, training the app to return multi-dimensional emotion reports including happiness, anxiety, and sadness within seconds after recording, and used visualization charts to help users reflect on mood changes. After multiple rounds of noise environment testing and algorithm iterations, the system's emotion classification accuracy reached over 92%. Students reported that this app made them more willing to express themselves and better understand their emotions.

Mentor Review
Kevin demonstrated outstanding engineering capabilities in end-to-end voice processing and emotion classification frameworks. He worked with STEMRise mentors to optimize model architecture, improving accuracy while ensuring response speed, truly balancing performance and precision.
University Admission
University of Pennsylvania
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