Flask based web app with five machine learning models on the 10 most common disease prediction, covid19 prediction, breast cancer, chronic kidney disease and heart disease predictions with their symptoms as inputs or medical report (pdf format) as input.

AI based health checkup web tool

A disease prediction model that predicts the disease from the symptoms

The Plant Leaf Disease Detection repository is a comprehensive project built using Django and Flask frameworks, aimed at assisting in the identification and diagnosis of diseases affecting plant leaves.

Apna Doctor is an AI based Health Check-Up Web Application

"AltairCare 🏥: Your AI-powered healthcare companion! Predict diseases 📊, explore symptoms 🩺, and prioritize your health 🌟. Your wellness journey begins here!"

This repository contains the Flask application that serves as the API endpoint for MedAyu.

Physical and Mental Health Assessment usind Machine Learning Models

HealthConnect is a revolutionary healthcare platform that transcends traditional boundaries, offering accessible care anytime, anywhere

For latest ChatGPT, https://github.com/ab007shetty/chatGPT

KuSehat adalah website inovasi teknologi kesehatan menggunakan teknologi modern yaitu AI Gemini, Machine Learning,dan Object Real-time Detection.

KuSehat adalah website deteksi penyakit kulit dan kelamin menggunakan teknologi modern yaitu: Machine Learning,AI Gemini, dan Web3 Api Luno

This is a Multiple disease predictor website with an interactive user UI . It is based on the continuous machine learning algorithm . It is developed using python language and html templates . It is developed on the Flask framework

This website is a disease prediction platform that uses the Random Forest algorithm to provide symptom-based predictions. The model was trained and tested with a 75-25 data split for efficiency, and the application was built with a Django backend and a responsive frontend using HTML, CSS, and JavaScript for smooth user interaction

AI-DiseasePredictor: Advanced AI tool for disease prediction based on symptoms using machine learning and Google Gemini AI for in-depth medical insights.

Fever-Scan

HealthPredictorXGB is an XGBoost-based machine learning model designed to predict diseases from symptoms. By utilizing gradient boosting and feature engineering, it aims to assist healthcare professionals in early disease diagnosis, improving decision-making and efficiency in medical practice.

A Flask web app integrating YOLOv8 by Ultralytics to detect and count blood cells.

This project helps to predict the individuals disease with good probability score

University Project for the Health Data Science course