StudyFlow AI — Your Personal AI Study Coach

Inspiration Students often struggle to manage assignments, exams, deadlines, and daily schedules. Traditional to-do lists track tasks but don't help students adapt when plans change. StudyFlow AI was designed to make study planning smarter, simpler, and more flexible.

What it does StudyFlow AI helps students organize study tasks, prioritize deadlines, track progress, and adjust their daily plans when they fall behind. Its planned AI assistant enables natural-language interactions, while MCP tools allow compatible AI clients to manage study tasks through structured actions.

How we built it We designed a full-stack application using React and TypeScript for the frontend, Node.js and TypeScript for the backend, and SQLite for persistent data storage. The backend exposes application functionality through APIs and an MCP server using Streamable HTTP transport.

Challenges we faced Key challenges included connecting the frontend, backend, and database; designing reliable task management tools; and developing a practical approach to rescheduling tasks when priorities or available time change.

What we learned We explored full-stack development, API design, database persistence, and the Model Context Protocol. We also learned the importance of building technology around real student needs and creating adaptable productivity workflows.

What's next We aim to improve personalized study recommendations, strengthen scheduling logic, test with real student workflows, and expand integrations with compatible AI assistants.

Vision Our vision is to help students spend less time worrying about what to study next and more time learning effectively.

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