Intelligent Python service with FastAPI for real-time heart disease predictions using machine learning. Features AI-assisted consultations, user authentication, analysis history, RESTful API, and comprehensive error handling. Secure and scalable solution for healthcare applications.

A modern healthcare platform enabling secure patient data management, intelligent appointment scheduling, and medical record tracking. Built with FastAPI microservices architecture, featuring JWT authentication, Redis caching, and RabbitMQ messaging. Designed for clinics/hospitals needing HIPAA-compliant solutions with real-time notification.

A MATLAB-based GUI tool that predicts diabetes risk using machine learning (Random Forest) on the Pima Indian dataset.

This project aims to improve the accuracy of blood pressure measurements using video-based heart rate monitoring and a calculation algorithm. The system utilizes facial tracking to detect and analyze heart rate data, which is then used to estimate blood pressure.

A comprehensive machine learning application that predicts breast cancer malignancy using cytology measurements. Features an interactive Streamlit web interface with real-time visualizations including radar charts for cell nuclei analysis. Implements logistic regression with data preprocessing pipelines for accurate benign/malignant classification.

PMS (Patient Management System) is a comprehensive healthcare solution developed to streamline patient care and management. This project aims to enhance operational efficiency, improve communication, and simplify administrative tasks for healthcare providers.

🧠 Brain-Tumor-Detection 📷 is a project that uses machine learning and computer vision techniques to automatically detect brain tumors from MRI images. 🔍🤖

BLOOD GROUP DETECTION USING FINGERPRINT Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials

Deep learning system that interprets brain signals from EEG/fMRI to control devices, predict neurological disorders, and enable brain-computer interfaces.

Professional portfolio website of Mariganesh M - Biomedical Engineering student. Features projects, skills, education, and resume download.

DiagnoAI: Medical RAG Assistant - Educational AI system for healthcare information retrieval using multi-source medical knowledge and advanced search. FOR LEARNING AND RESEARCH ONLY.

Real-time AI wound monitoring system using computer vision, streaming analytics, and LLM insights to transform post-surgical care with privacy-first design.

A Progressive Web App for emergency responders providing AI-powered operational checklists, real-time team coordination, and situational awareness tools. Built with React, TypeScript, and Azure OpenAI.

AI for healthcare innovation, empowering medical research and diagnosis.

AI-powered malaria detection system for hospitals with patient management, PDF report generation, and real-time analytics. Built with React, Supabase & FastAPI.

🚨 Enhance emergency response with this PWA, featuring AI-driven checklists, real-time team coordination, and crucial situational awareness tools.

Technical showcase production application demonstrating LLM integration, MCP pattern, RAG systems, and modern architecture.

Production-grade Explainable AI (XAI) for early oral cancer detection. Uses InceptionResNetV2 + Grad-CAM for heatmap diagnostics, heuristic image forensics for validation, and a real-time analytics dashboard

Insulin pump simulator with real-time glucose monitoring and Control-IQ based insulin control.

MATLAB-based system for detecting eye blinks from EMG signals, designed for assistive communication devices.