Finding the right medical specialist presents a serious threat to patient health, resulting in delayedtreatment,financial losses, and safety risks. Traditional methods of finding a doctor, like searching online directories, areoftenvulnerable to misinformation and lack transparency. To address this, the proposed system integrates Artificial Intelligencewith a web portal to ensure accuracy and transparency in the patient-doctor matching process. Each patient enterstheirsymptoms, and the system’s AI model generates a suggestion for a suitable specialist, with details stored securelyinadatabase. Users can verify the doctor’s specialty in real-time via the web application. This data-driven, intelligent mechanismreduces incorrect self-diagnosis, enhances patient trust, improves healthcare management, and safeguards consumers. Theapproach has wide applications in primary healthcare, specialized medicine, and telemedicine, offering scalabilityandreliability for future patient care systems. Keywords: Artificial Intelligence, Machine Learning, Symptom Checker, Healthcare Management, Doctor Recommendation,Cybersecurity, Patient Authentication