AI driven health recommender
K. Vignesh, B. Pranavi, Ch. Sreenidhi

TL;DR
This paper presents an AI-powered web application that diagnoses diseases based on symptoms and provides personalized health recommendations, aiming to simplify patient health management.
Contribution
It introduces a real-time machine learning-based health recommender system integrated into a user-friendly web platform.
Findings
Accurately detects diseases from symptoms
Provides tailored medication, diet, and exercise advice
Uses real-time data for improved recommendations
Abstract
As AI emerged as highest valued technology, We used that to create a web application that makes a patient work easier .It detects the disease name based on the symptoms given by the patient and recommends medication for respective disease, precautions to take, diet to follow and workouts to do, so the disease can be minimized. The web application is made with clean and Realtime data by using Machine learning as root. We used flask to create a user-friendly platform.
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Taxonomy
TopicsMachine Learning in Healthcare · Artificial Intelligence in Healthcare
