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About Me

I am Brian Tham, A*STAR Research Intern and and an Applied AI undergraduate at Singapore Institute of Technology, passionate about pushing the boundaries of AI research and its real-world applications. With a strong foundation in computer science and a keen interest in emerging technologies, I'm dedicated to developing innovative AI solutions to solve complex challenges.

Projects

Profanity Detection
Multimodal system for detecting and rephrasing profanity in both speech and text, featuring real-time analysis, automatic content refinement, and toxicity classification using advanced NLP models.

FoodVision
Deep learning-based food detection system using YOLOv8 to identify 55 different food classes, with calorie estimation and a web interface featuring image upload and camera capture capabilities.

Speech Emotion Recognition
System using Wav2Vec2 to classify speech into four emotional categories (Neutral, Happy, Sad, Angry), achieving 69.02% accuracy through transformer architecture and robust data augmentation techniques.