A selection of projects exploring AI, Healthcare, and Data Analysis.
Built a retrieval-augmented chatbot to answer questions from PubMed abstracts. Implemented dense vector indexing and a Flask-based interface for querying biomedical literature.
Designing a personalized ML pipeline using wearable data (sleep, HR, activity) to detect circadian rhythm disruptions and predict mental health risks.
Constructed age-stratified word association graphs to simulate lexical access. Analyzed metrics like edge density and path length to reveal cognitive trends.
Automated data pipeline using Apache Airflow to predict lifestyle-driven disease risks. Developed a clinician-facing Streamlit dashboard for real-time risk simulations.
Cleaned and merged multi-source GBD datasets to analyze mortality trends and gender disparities. Visualized patterns to identify top global health risks.
Developed a CNN model with 92% accuracy for medical image classification, improving disease detection accuracy.
Analyzed 20,000+ tweets using TextBlob & VADER, predicting state-wise political sentiment trends.