healthcare-technology

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.

Chrome extension with LLM integration for clinicians to query OpenEvidence directly from text—AI-powered PICO question rewriting using Groq for evidence-based medicine workflows

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.

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

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.

Deep learning framework for automated brain tumor classification using MRI imaging. Implementing CNN architectures for diagnostic decision support and accurate medical anomaly detection.

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

A Streamlit web app that estimates heart disease risk from 13 patient vitals and test results, using a Random Forest Classifier trained on a Kaggle dataset.

MedRush is a modern, AI-powered healthcare web platform that bridges the gap between patients, pharmacies, and doctors. Upload a prescription, let AI extract the medicines, find nearby pharmacies, and reserve your medicines for instant pickup.

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

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

Healthcare industry guide for software engineers—medical concepts, systems design, and clinical workflows with Quarto presentation

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

AI-based system for real-time battlefield triage and medical decision support.

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

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

AI-powered medical teaching evaluation form filler using Claude Code agents and Python CLI for e-portfolio systems. Automates competency assessments (DOPS, Mini-CEX, CbD, EPA) while preserving bedside teaching quality.

​A comprehensive data analytics case study covering raw data sourcing,data cleaning, multi-table pivot modeling, and custom visualization in Microsoft Excel. The finished dashboard provides interactive slicers for dynamic filtering across regions, departments, and warranty statuses, allowing healthcare managers to monitor asset valuation real time.