AI-assisted digital healthcare systems are increasingly important for improving access, reducing administrative workload, and supporting early clinical decision-making. This paper presents the design and evaluation of CurePharm, a web-based healthcare platform that integrates symptom-based guidance, appointment management, and patient support functions. The proposed system combines a responsive web interface with backend logic for user interaction, data handling, and AI-assisted assistance. The objective is to study whether a lightweight engineering architecture can deliver reliable, scalable, and user-friendly healthcare support for common patient workflows. A prototype implementation was developed and evaluated using functional testing, usability feedback, and performance metrics. The results indicate that modular web architecture and AI-supported interaction can improve accessibility and streamline patient engagement. The paper concludes with design implications for future healthcare information systems and outlines opportunities for secure deployment and clinical integration.