Global Mind

Inspiration

Experts worldwide often work in silos, even as global challenges like climate change demand collective action. Global Mind was inspired by the idea of instantly connecting a marine biologist in Australia with a data scientist in India to solve these problems together.

What it does

Global Mind leverages AI to decompose complex problems into actionable micro-challenges and matches users with the right experts globally. Teams then collaborate in real-time using chat and a shared whiteboard, transforming big challenges into coordinated solutions.

How we built it

The frontend is built with React and TypeScript, styled with Tailwind CSS. The backend (unfinished) uses Node.js, Express, and MongoDB, with real-time collaboration powered by Socket.io. AI-driven problem decomposition and expert matching are handled via the LLM API.

Challenges I ran into

Designing AI-driven decomposition for complex, multi-faceted problems was challenging. Ensuring seamless real-time collaboration across multiple users, especially with connection reliability, also proved more complex than anticipated.

Accomplishments that we're proud of

Implemented the frontend and core AI-driven problem decomposition, enabling users to submit problems and view structured challenges and laid the groundwork for backend and real-time collaboration features, setting a strong foundation for future expert matching and live teamwork.