Research AI

For my latest project, I developed a comprehensive platform for Research AI, aiming to create an interactive and scalable frontend experience. The project combines modern technologies with a focus on user interface design and performance.

The system is built using Next.js for server-side rendering and routing, while Tailwind CSS ensures a fully responsive and customizable UI. It is designed to handle complex user interactions and integrates seamlessly with other components like custom modals, infinite canvases, and PDF viewers.

Research AI's frontend design incorporates features like real-time updates, smooth rendering of PDFs, custom navigation systems, and modular design components. The platform leverages drag-and-drop functionality, ensuring a user-friendly experience. The dark mode option, alongside custom Gantt timelines and tab navigation systems, elevates its usability.

This project again was an avenue for showcasing my technical depth and attention to user needs. We are already planning for further iterations, making this platform a dynamic tool for the research community. It's been an exciting journey, from design to implementation, proving once again the importance of creativity in the technical landscape.