01
Computer VisionDeep LearningPython
Cataract Detection System
Real-time cataract detection from eye images. Built the full pipeline — model, inference API, and serving layer. 98.1% accuracy.
98.1% detection accuracy on real eye image datasets
Portfolio
All Projects
Small things I built to see if they’d work. Most of them did.
02
Computer VisionMobileOn-Device ML
Offline Facial Recognition System
100+ faces recognized entirely on-device. No cloud, no API calls, no internet required. Built with Flutter and embedding-based matching.
~95% accuracy, 100+ user embeddings, zero cloud dependency
03
Deep LearningAudio MLNLP
Audio Captioning System
Feed it audio. It tells you what's happening. CNN-LSTM and Transformer architectures on extracted audio features.
Contextual captions generated from raw audio without transcription