dc.contributor.author	Kambham, Naga Sekhar Reddy	en
dc.contributor.author	Banka, Sindhuja	en
dc.contributor.author	Vemulapalli, Yuva Sri	en
dc.contributor.author	Palla, Akhil	en
dc.contributor.author	Chakiri, Yaswanth	en
dc.contributor.author	Lohani, Meena	en
dc.date.accessioned	2023-12-11T12:44:18Z	en
dc.date.available	2023-12-11T12:44:18Z	en
dc.date.issued	2023-12-06	en
dc.description	Access our project code using below link: Github Repository Link: https://github.com/SindhujaReddy-VT/DiagnoSym	en
dc.description.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.	en
dc.identifier.uri	https://hdl.handle.net/10919/117175	en
dc.language.iso	en_US	en
dc.title	DiagnoSym: Disease Prediction System Using the Symptoms	en
dc.type	Master's project	en

DiagnoSym: Disease Prediction System Using the Symptoms

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