An AI-powered disease predictor and lifestyle suggestion designed to help users identify potential diseases early and receive lifestyle guidance. Using machine learning models, it predicts the likelihood of five major diseases — Arrhythmia, diabetes, cancer, asthma, and obesity — based on user input. The project also uses Google’s Generative AI (Gemini) to provide personalized health advice and lifestyle recommendations.

An AI-powered telemedicine assistant that analyzes symptoms, matches them against a database of 370 diseases, and provides users with possible diagnoses.

A personalized recommendation system that supports individuals with IBD (Inflammatory Bowel Disease) through diet, lifestyle, and medical suggestions.

Sepsis Early Warning System is an AI-powered healthcare project that predicts the risk of sepsis 6–12 hours before clinical diagnosis using patient vital signs and lab data. This system uses a ML model to identify early warning patterns and presents the results to the user. I also integrated an AI assistant which helps explain predictions, risk factors, and model outputs in clear language, supporting clinicians in making faster and more informed decisions to improve patient outcomes and help aid the user in ways to mitigate or slow down the risk until further notice by doctors.

An AI-powered diagnostic assistant that analyzes user-reported symptoms and instantly suggests possible diseases, making healthcare insights more accessible and affordable.

A healthcare AI that analyzes patient symptoms and medical data to provide early disease detection and support doctors in diagnosis.

AI model for predicting biosynthetic pathways for hard-to-make chiral molecules used in medicine and materials.

AI system that analyzes patient health records and biomarkers to predict risk and progression of Multiple Sclerosis.

A chatbot that asks about symptoms and suggests possible conditions using a symptom–condition lookup. Empower users to perform preliminary health assessments.

PocketAI is a multimodal medical triage assistant that analyzes patient symptoms using images and voice input. By combining camera capture, speech transcription, and AI diagnosis, it provides instant priority-level assessments, reducing hospital wait times and enabling faster preliminary medical guidance through a simple, user-friendly interface.

A sports injury prevention and recovery application that can help anyone who is physically active stay safe and healthy.

AI system that analyzes patient health records and biomarkers to predict risk and progression of Multiple Sclerosis.

An AI-powered injury-risk assistant that analyzes an athlete’s training load, health data, and sport-specific factors to instantly predict injury risk, recommend next steps, and provide personalized prevention strategies, giving amateur and semi-pro athletes access to guidance they normally wouldn’t get from day-to-day medical support.

NeuroPredict is an AI-powered headache classification assistant that analyzes user symptoms, identifies the likely headache type, and provides tailored guidance on remedies, clinical management, and medication options.

A personalized recommendation system that supports individuals with IBD (Inflammatory Bowel Disease) through diet, lifestyle, and medical suggestions.

A personalized recommendation system that supports individuals with IBD (Inflammatory Bowel Disease) through diet, lifestyle, and medical suggestions.

AI system that analyzes seniors’ vitals and behavior patterns to detect early stroke signs and alert caregivers for immediate intervention.

Engages patients through chat to provide health tips, appointment reminders, and symptom checks.

 Eases burden on clinics while improving patient engagement.

A classifier that learns from drug‑interaction databases to flag risky drug pairs.

An AI-powered disease predictor and lifestyle suggestion designed to help users identify potential diseases early and receive lifestyle guidance. Using machine learning models, it predicts the likelihood of five major diseases — Arrhythmia, diabetes, cancer, asthma, and obesity — based on user input. The project also uses Google’s Generative AI (Gemini) to provide personalized health advice and lifestyle recommendations.

AI model recommends ranked antibiotics for infections with confidence scores, helping tackle resistance by guiding accurate, data-driven treatment decisions.

A healthcare AI that analyzes patient symptoms and medical data to provide early disease detection and support doctors in diagnosis.

AI system that analyzes online content to detect medical misinformation and ensure reliable, trustworthy health information.

An AI-powered nutrient deficiency predictor that analyzes 25+ environmental, dietary, and demographic factors to estimate a user’s risk for key nutrient deficiencies, delivering expert insights and personalized recommendations to help people understand root causes and take proactive steps toward better long-term health.

AI system that analyzes seniors’ vitals and behavior patterns to detect early stroke signs and alert caregivers for immediate intervention.

An AI-powered telemedicine assistant that analyzes symptoms, matches them against a database of 370 diseases, and provides users with possible diagnoses.

Condenses lengthy EHRs into focused snapshots of patient history. Helps doctors save time during consultations and referrals.

Train a CNN on public X‑ray or skin‑lesion datasets to flag images as normal vs. abnormal. Assist in identifying anomalies in medical images