AI tool that monitors vital signs and movement patterns in seniors to detect early stroke symptoms and alert caregivers instantly.

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

 Eases burden on clinics while improving patient engagement.

AI system that identifies chiral molecules feasible for microbial production by analyzing biosynthetic pathways, enabling sustainable discovery of medicines, agricultural compounds, and advanced materials.

A chatbot that asks about symptoms and suggests possible conditions using a symptom–condition lookup.

Empower users to perform preliminary health assessments.

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

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

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

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

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

Predicts if a patient will miss their medical appointment.
Helps clinics reduce no-shows and improve scheduling efficiency.

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

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

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

We built 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.

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

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

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.

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.

Transcribes and summarizes doctor–patient conversations using AI.
 Highlights symptoms, history, and diagnosis while suggesting second opinions.

An AI-driven health predictor that analyzes user inputs to assess the likelihood of five major diseases—arrhythmia, diabetes, cancer, asthma, and obesity—while offering personalized lifestyle recommendations powered by Google’s Gemini models.

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.

AI tool that monitors vital signs and movement patterns in seniors to detect early stroke symptoms and alert caregivers instantly.

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

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

Predict adverse interactions between medications to promote safe usage.

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

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

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.