Authors : Vahini.M; Dr. E. Boopathi kumar

Volume/Issue : Volume 10 - 2025, Issue 4 - April

Google Scholar : https://tinyurl.com/ya5meumv

Scribd : https://tinyurl.com/4hfmtsht

DOI : https://doi.org/10.38124/ijisrt/25apr619

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Abstract : The project "Smart health consulting system" has been designed using Xml with Java as front end and SQLite server as backend, which assist to prediction diseases and finds appropriate hospital with e-appointment system for the users. Disease detection through symptoms may appear to be quite normal in day-to-day life, but serious when symptoms grow complex and/or diverse. As this complexity or diversity grows, we human beings fail to correctly identify any specific disease that results from the perceived symptoms. Different symptoms normally point towards different possibilities of diseases, and also with varying intensities. The primary objective of the proposed system is to introduce a new mobile application with self-automated disease prediction with a hospital recommendation process along with an appointment for a doctor. The system facilitates the enhancement of the medical field service. The patient can identify the disease by symptoms. At the beginning, users were required to register themselves using minor details. Once registered successfully, users can log in by using their username and password. Users would then be able to choose their symptoms. Our system used techniques applied for classifying effectively. Users can first choose their symptoms. Last but not least, our technique will classify effectively whether the patient appears to be suffering from a disease or the patient appears to be normal effectively. Then, the system will recommend suitable hospital and medical service to the patients or users based on the symptoms effectively.

Keywords : Smart Health , Consulting System ,Artificial Intelligence (AI),Machine Learning (ML),Expert System, Diagnosis, Medical Consultation , Health Monitoring , Knowledge Base , Inference Engine , Patient Data , Remote Healthcare , Decision Support System (DSS), Natural Language Processing (NLP) Web-Based Application.

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