AI Doctor Symptom Checker with Recommendation
DOI:
https://doi.org/10.70914/Keywords:
Machine Learning, Symptom Checker, Disease Forest Classifier, Prediction,, Gradient Boosting, Health Recommendation System.Abstract
The rising demand for accessible and intelligent healthcare solutions highlights the need for
systems that can analyze patient symptoms in real time and provide reliable
recommendations. This paper presents the development of AI Doctor – Symptom Checker
with Recommendation, a web- based platform powered by machine learning for early symptom
analysis the health advice. The application integrates secure authentication, personalized
dashboards and AI-driven prediction models. Built using Python (Flask) for the backend
and HTML/CSS/JavaScript for the frontend, the system ensures responsiveness, usability, and
accuracy. Result confirms correct disease prediction, user-friendly interaction, and secure
data handling. Compared to traditional symptom checkers, the system offers higher
engagement, structured recommendations, and potential for AI- driven personalization.
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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
