SymptoCare is an #AI-powered health assistant that provides #symptom-based #risk predictions and mental wellness support using GPT/Gemini. Built with #React, #Flask, s#cikit-learn, and #Firebase, it offers smart insights and doctor booking features.

Health Prediction Web application using Django, machine learning .

A health prediction system that takes facial images as input and predicts whether the person in the image is healthy or ill with fever, sore throat or running nose. 16 experiments combining LBP, PCA, LDA, Gabor filter feature extraction methods and SVM, NN, KNN, RF classifiers were run to find the best overall model for the health prediction sys…

This project is Django based Online Health Prediction. This platform utilizes machine learning models to provide online predictions for various health conditions, including mental disorders, polycystic ovary syndrome (PCOS), and obesity.

This project predicts the likelihood of cardiovascular disease based on patient health data.

This project predicts the likelihood of sleep disorders based on various health and lifestyle factors.

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Machine Learning Based Body Fat Percentage Prediction: Developing an accurate and accessible model using anthropometric measurements. This project focuses on practical model development and implementation to improve estimation methods over traditional approaches.

Predicts disease risks based on symptoms and health data using trained ML models and nutrition metrics.