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AI‑powered crowd safety POC that tracks real‑time density, predicts zone‑based risk, and triggers evacuation logic to prevent dangerous crowd conditions.
A multi-modal AI diagnostic system that fuses genomic risk markers with MRI vision analysis for the early, high-confidence detection of Alzheimer’s Disease.
An all-in-one AI-driven healthcare platform for smarter diagnosis, hospital management, and patient services.
An AI Powered Brain Tumor Detector for Radiologists
Built a vision-based system that matches vehicles across entry and exit cameras, reducing manual verification and enabling scalable, camera-only parking operations
AI-powered dermatology triage designed for all skin tones
An AI-powered personal memory system that lets you talk to your knowledge.
From Symptoms to Solutions.
Precision ALPR for large-scale vehicle matching.
Bipartite matching vehicle camera images from a parking facility challenge!
Autonomous Telecom & Data Center Guardian
I created a visualizer for the D-H representation for forward/inverse kinematics.
An innovative machine learning model that uses XGBoost and Tabnet through a meta model to predict house prices & energy efficiency on a Kaggle dataset.
MindPatch is an AI-powered mental health support app that interprets short or unclear emotions and suggests gentle, non-diagnostic mental patches using NLP and ethical design.
Automating manual gauge inspection for predictive maintenance at scale
“A neural network built completely from scratch in Python to understand how learning really works.”
Track your loved ones' daily habits, lifestyle factors, medical factors, and symptoms to predict Alzheimer severity or possible health risks.
