Year: 2025
Type: article
Abstract: This project aims to develop an AI-powered Symp- tom Checker that allows users to input their symptoms, analyzes them using a predefined symptom-disease dataset, and provides a diagnosis along with detailed information about the identified disease. The disease information, including causes, predictions, basic treatments, and home remedies, is stored in a database with support for multiple languages. Users can seamlessly switch between languages via an interactive interface, and the system will fetch the corresponding translated information. The project integrates simple natural language processing (NLP) for symptom matching, a robust backend to handle multiple-language data retrieval, and a user-friendly web inter- face built using HTML. This tool is designed to assist users in understanding potential health conditions and offer guidance on next steps based on a comprehensive database of disease information.
DOI: 10.46632/cset/3/2/9
Language: English
Subfield: Health Information Management
Field: Health Professions
Domain: Health Sciences
Open Access status: bronze
OpenAlex ID: W4410747975