NLP system for sentence classification in biomedical abstracts using hybrid embeddings.
Developed deep learning models with token, character, and hybrid embeddings for classifying 200k PubMed RCT abstracts. Achieved 85.6% accuracy using a Tribrid model and deployed as a Flask web app and Chrome extension for biomedical text classification.
An evidence-based AI system using RAG to generate ATS-optimized resumes from GitHub and research dat...
AI-based gait analysis using deep learning and signal processing for motion understanding....
Character-level music generation using LSTM-based RNNs trained on symbolic music data....