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.

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.

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.

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

🧠 A deep learning model that classifies brain images as either having a tumor or not.

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

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

This project focuses on addressing healthcare insurance fraud using advanced technologies such as machine learning and blockchain. It explores the use of various machine learning algorithms for detecting fraudulent activities in healthcare insurance claims and employs blockchain technology to ensure data integrity.

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

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

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

AI for healthcare innovation, empowering medical research and diagnosis.

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.

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

A prosthetic glove using flex sensors and Raspberry Pi to interpret hand gestures for speech-impaired users.

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

A comprehensive posture compliance monitoring system for retinal detachment rehabilitation, featuring real-time tracking, 3D visualization, mobile app integration, and machine learning-based compliance prediction.

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

SANA AI is an AI-powered healthcare chatbot by EMRChains. This landing page was built to provide a modern, responsive interface that highlights its features, engages visitors through an integrated chatbot, and allows users to easily request a demo.