AI-Based Phobia Detection (Deep Learning & VR)

Designed an end to end AI system for phobia detection using Virtual Reality and audio signal processing. Applied feature engineering and MFCC-based feature extraction, and trained a supervised Deep Learning model (ANN) for binary classification, achieving 97% accuracy. The project demonstrates strong skills in Machine Learning pipelines, Neural Networks, data preprocessing, and applied AI for mental health assessment.