The client operates a high-volume online platform publishing thousands of articles, case reports, and research on mental health. The existing system is built on an obsolete framework, limiting SEO capabilities, data accessibility, and user experience. Difficulties include poor site traffic, limited content discoverability, inefficient data management, and accessibility barriers for users with visual impairments. Additionally, the platform's fragmented URL structure complicates user access, and lack of integrated authentication hinders seamless experience for multiple user roles.
A large online medical research and educational platform specializing in mental health topics, with extensive archives of research papers, journals, and multimedia content for professionals and students.
The project aims to significantly enhance website traffic through improved SEO and user experience, projecting at least a 50% increase in search engine rankings and organic visits within the first six months. The new system is expected to reduce ongoing maintenance costs by approximately 90%, streamline user access via SSO, and improve content accessibility for all users, including those with disabilities. The scalable architecture will support exponential content growth and multimedia integrations, positioning the platform as a leading resource in mental health research and education.