There are 0 repository under health-tech topic.
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.
Revolutionize your health with DoruqHealthSystem: AI-driven insights at your fingertips for smarter, proactive wellness management.
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 comprehensive web-based platform that connects blood donors directly with hospitals, ensuring quick and efficient blood donation.
💪 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.
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.
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.
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.
Daniel Rivas Github homepage
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.
Kidney Disease Classifier is a web application that utilizes a fine-tuned VGG16 model to analyze CT scan images and predict tumor presence with 89% accuracy. It features an intuitive interface for image uploads and instant results. Built with Flask, TensorFlow, and MLflow, it showcases deep learning principles in health tech.
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
Sanruum HealthAI is an AI-driven Python project focused on diabetes management and healthcare, offering real-time health monitoring, predictive alerts, and personalized insights. It aims to empower users with early intervention and proactive care.
Lyme & Tick-borne Disease Research Web-Application
A smart, AI-powered tool designed to assist in cardiovascular health management through personalized insights and reminders.
Harnessing tech to study & improve body image.
Sehati is a mental health app designed to help users manage their well-being through stress assessments, informative articles, and personalized profiles. Developed for the Software Engineering course, it aims to provide better mental health support through an improved user experience and expanded features.
A centralized digital healthcare platform for secure medical record storage, telemedicine, physiotherapy, and AI-driven disease prediction.
The National Health Integrated System is a centralized and integrated healthcare management system.
"Development repository for Lazeal OptiX, a home-use diagnostic device using advanced microscopy and biochemical analysis."
Fertility Diagnoser is a web application that utilizes machine learning to predict fertility levels. By inputting relevant data such as age and other factors, users can receive personalized predictions about their fertility. The application seamlessly integrates React and Python, offering a user-friendly interface and accurate predictions.
A platform for paediatric anaesthetists working in Belfast - drug dose calculator and key guidelines
Sistema de Prompt de Comando (Shell) estilizado que envia notificações a cada hora para lembrar o usuário de se hidratar, exibindo mensagens interativas no terminal e na interface. Desenvolvido em Python com as bibliotecas Plyer, Colorama e PyFiglet.
【This repo runs on caffeine and stars - fuel us up! ⭐️】A deep learning project implementing neural network models to accurately predict body fat percentage from anthropometric measurements. Features both comprehensive and reduced-input models, with detailed analysis of feature importance and model performance.
Track fitness goals share progress with friends. Simple goal setting and tracking MVP... Created at https://coslynx.com
Set fitness goals, track progress, and share achievements with a community online... Created at https://coslynx.com
This repository is dedicated to activities in Biomedical Signal Processing, guided by Prof. Dr. Adriano de Oliveira Andrade.