AI-Driven Disease Prediction and Doctor Recommendation System

Healthcare Center can be complicated and of those delayed diagnoses, inefficient referrals, limited specialized care, the remote areas especially. This paper addresses these problems and proposes an AI based Disease Prediction and Doctor Recommendation System powered using advanced machine learning algorithms: These include Decision Trees, Random Forest, Support Vector Machine (SVM), Logistic Regression, K-Nearest Neighbors (K-NN). Based on patient’s symptoms and historical health data, the system predicts disease with 98 percent accuracy and suggests the most appropriate specialists for treatment using up to 20 hours of clinical data. The new system will greatly benefit society by improving healthcare accessibility and speed and easy diagnosis and improving the precision of treatment and reducing the number of unnecessary consultations. By integrating its function into telemedicine platforms, hospitals, and patient health apps, it demonstrates the potential for a groundbreaking experience of the healthcare experience while improving outcomes for patients around the globe.