Doctor Dok is an AI based medical data framework and patient's med vault. Parse any health related PDF/Image to JSON and then use Chat GPT / LLama to discuss it! WARNING: Don't decide on your health based on AI Chat - it's just for Research purposes.

MedTime is a web/mobile app that helps people with short-term memory set reminders to take their medicine or apply some treatments to a wound.

Medicano: A versatile medical application aimed at delivering comprehensive information about medications. It provides users with detailed insights into drug uses, pricing, alternatives, and availability. Key features include a powerful search function, personalized recommendations, a symptom checker, and integration with health articles and news.

A personalized diet plan recommendation system is proposed that uses a knowledge base and rules to infer a user's dietary requirements and suggest an appropriate meal plan. This is web application created by using React Node js Python and Prolog

Revolutionize your health with DoruqHealthSystem: AI-driven insights at your fingertips for smarter, proactive wellness management.

A fitness tracking app where users can create profiles, log workouts, monitor BMI progress, set personal goals, and participate in challenges — all with an engaging and user-friendly dashboard. Note: Messaging and buddy connection features are planned but not implemented yet.

💪 Solutech is a web app built with Next.js and JavaScript that automates health calculations like BMI, body fat percentage, and BMR. It helps users track progress, prevent diseases, and maintain healthy habits.

AI-powered disease prediction system with ML/DL models and integrated health chatbot.

Smart posture monitoring system using ESP32, MPU6050, and Flex Sensor with real-time alerts.

Using python to create an application to track nutritional data in a daily basis. Making the world a better place to live. Good using technology.

This script implements a bioinformatics pipeline for analyzing genetic variants and their association with disease risk. It combines population genetics principles with machine learning to identify disease-associated variants.

Convert all your Blood Tests, MRI Scans, TK Scans, After Visit reports, Hospital Admission Reports to JSON, safely store in the cloud and discuss, annotate, translate it with AI.

A RESTful API using Flask and XGBoost to predict diabetes in Pima Indians based on various diagnostic measurements. Includes training, saving the best model, and testing the API using Python requests.

Lyme & Tick-borne Disease Research Web-Application

A smart, AI-powered tool designed to assist in cardiovascular health management through personalized insights and reminders.

Obese-tree is a GitHub repository showcasing the application of a Support Vector Machine (SVM) model to estimate obesity levels based on eating habits and physical condition. Explore the code, data, and Jupyter notebooks to learn how SVM can be used for predictive modeling in the context of health and wellness.

Early Detection of Diabetic Kidney Disease using Contrast Enhanced Ultrasound Perfusion Parameters. Explore perfusion models (Lagged Normal, Log-Normal, Gamma Variate), compare their effectiveness, and analyze their application to diabetic and control cases.

Daniel Rivas Github homepage

"Development repository for Lazeal OptiX, a home-use diagnostic device using advanced microscopy and biochemical analysis."

An AI-powered ingredient analyzer that helps you understand what's in your food. Simply take a photo or upload an image of an ingredients list, and Snappy Gredients will analyze it for you!