Responsive Web-Based Learning Platform for Early Detection of Breast Cancer
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Abstract
Cancer continues to be a serious global health concern. Misconceptions, stigma, and cultural beliefs exacerbate the issue of cancer awareness in many communities, leading to late-stage diagnosis when treatment options are scarce. It has been observed that early discovery and availability to trustworthy information are critical to both prevention and control. In this study, a responsive web-based platform that combines web technology and human-centered design is designed and developed with the goal of improving cancer education for the general population. The platform was developed using a modular architecture. The front end of the study design utilizes Next.js, React and TypeScript for the we-based learning platform while the back end is designed using PostgreSQL, deployed via Supabase for persistent and dynamic storage of educational content. REST and GraphQL APIs were also used to implement a seamless integration with the React-based front end. Key system components include an interactive homepage, categorized cancer information modules, and multilingual content delivery to support diverse user demographics. The platform was tested across multiple devices to ensure compatibility and responsiveness, leveraging media queries and flexible grid systems for optimal display. This implementation demonstrates the viability of web-based health education tools, particularly in regions with limited access to structured medical information. It also supports multiple languages through dynamic language selection and database-driven content localization, enhancing accessibility in multilingual communities.
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