The "Medicine Recommendation System" is designed to provide suggestions for alternative or substitute medications based on a search query, with the primary goal of offering viable replacements for the specified medicine.
AYUCARE is a web application that provides a solution to detect diseases from symptoms and recommend Ayurvedic medicine using two machine learning models that are based on decision tree algorithms.
DocBuddy.ai 🩺 Your Personalized 🪄 Doctor Buddy 👨🏻⚕️
基于 Qwen 大模型与 RAG 技术的中医药 AI 健康助手，提供体质辨识、AI 问诊、用药参考等功能
An Intelligent Health LLM System for Personalized Medication Guidance and Support.
This project involves disease prediction and providing recommendations for medicines, workouts, and diets based on the predicted disease. The model was trained using the Support Vector Machine (SVM) algorithm, achieving an accuracy score of 96%. The user interface is built with HTML, CSS, and Flask.
JanAushadhi - A Generic Solution for Better Health
A disease prediction and medicine recommendation system built using Scikit-learn
Machine Learning-powered healthcare application that predicts diseases from symptoms and provides medicine, diet, workout, and precaution recommendations.
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