AI Doctor: An Artificial Intelligence-Based Smart Healthcare Diagnosis and Recommendation System

Adityaranjan Sahoo
Sriram Sekhar Dash
Department of Master of Computer Applications

GIFT Autonomous, Bhubaneswar, Odisha, India, sdash2024@gift.edu.in , adityaranjan2024@gift.edu.in

Tarun Kumar
Assistant Professor of Master of Computer Applications

GIFT Autonomous, Bhubaneswar, Odisha, India, tarun@gift.edu.in

Abstract—Healthcare systems are rapidly evolving with the integration of Artificial Intelligence (AI), machine learning, and cloud computing technologies. Traditional healthcare systems often face challenges such as delayed diagnosis, limited accessibility, high operational costs, and shortage of medical professionals. This paper presents AI Doctor, an intelligent healthcare diagnosis and recommendation system developed to assist users in identifying diseases based on symptoms and providing preliminary healthcare guidance. The proposed system utilizes machine learning algorithms, symptom-based prediction models, and healthcare datasets to generate accurate disease predictions and treatment suggestions. The system also provides medicine recommendations, health precautions, doctor consultation guidance, and patient monitoring features through a user-friendly interface. The AI Doctor system improves healthcare accessibility, reduces diagnosis time, and supports early disease detection using intelligent healthcare analytics. Furthermore, this research demonstrates how modern AI technologies can be integrated into healthcare systems to support smart medical assistance, predictive healthcare analysis, and efficient healthcare management.

Keywords—Artificial Intelligence; Healthcare System; Machine Learning; Disease Prediction; AI Doctor; Smart Healthcare; Predictive Analytics; Medical Diagnosis