SumHub is an AI-powered search engine designed to simplify literature reviews for students by making it easier to find and share academic resources. The project started with broad ideas but no clear direction, requiring quick alignment on goals. With a short development timeline, the focus was on creating an intuitive, efficient user experience while ensuring a smooth transition from design to implementation.
Problem
The challenge was to design a platform that balanced simplicity with functionality, ensuring students could quickly find relevant academic resources without unnecessary complexity. Time constraints meant prioritizing essential features while maintaining a strong user experience. Key challenges included:
Defining the core functionality with a limited scope.
Designing a high-fidelity prototype that developers could easily translate into a working product.
Streamlining the user journey by focusing on usability and efficiency.
Outcome
We developed a high-fidelity Figma prototype tailored to student needs, prioritizing essential features over complexity. To keep the platform user-friendly, some planned features, like authentication, were dropped. This decision reinforced a user-first approach and accelerated development.
Our collaboration with developers ensured a seamless design handoff, enabling the site to be built in under 10 hours. The final product is a clean, intuitive, and highly functional tool that enhances student research by combining AI-powered search with an efficient interface utilizing shadcn components for efficient building.
This project reflects how we at Ramkonst approaches digital design—prioritizing usability, working efficiently under constraints, and delivering designs that are both functional and visually refined.