International Journal of Scientific Research and Engineering Development

Large hospital environments often cause significant confusion for patients trying to locate the correct department, doctor, or ward. Manual guidance by staff consumes significant resources and increases patient waiting times. This paper presents Care Connect, a symptom-based hospital navigation and guidance system that assists patients in finding the appropriate medical department, doctor, and location within a hospital. The system accepts patient symptoms as input and maps them to relevant medical departments using a rulebased approach. Once the department is identified, the system recommends a suitable doctor and generates step-by-step directions to the correct block, ward, and floor. The application is implemented using Python Flask with a simple web interface for patient interaction. A predefined dataset of symptoms, departments, doctors, and hospital locations supports the system. The proposed solution improves patient experience by reducing confusion, minimizing wait times, and decreasing dependency on manual guidance.

Sabariish Balamurugan, R. Kalaichelvan, "Care Connect – A Symptom-Based Hospital Navigation and Guidance System" International Journal of Scientific Research and Engineering Development, V9(2): Page(114-117) Mar-Apr 2026. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.