DiagnoSym: Disease Prediction System Using the Symptoms

Abstract

The rapid advancement of artificial intelligence (AI) has led to a significant transformation in healthcare, particularly in diagnostic development and personalized treatment approaches. This project introduces DiagnoSym, a web-based system harnessing the capabilities of machine learning to predict potential diseases and assess their severity based on user-provided self-reported symptoms. Beyond traditional diagnostic functionalities, DiagnoSym goes a step further by offering users valuable health information, personalized preventive measures, and details of medical experts. The integration of machine learning ensures accurate predictions, while the platform's holistic approach aims to enhance efficiency, effectiveness, and user experience in healthcare delivery. As AI continues to evolve, DiagnoSym exemplifies the potential for technology to positively impact healthcare outcomes, empowering individuals to play an active role in their well-being.

Description
Access our project code using below link: Github Repository Link: https://github.com/SindhujaReddy-VT/DiagnoSym
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