Inspiration University students often struggle to find peers who share their academic interests, whether for studying together, mentoring, or exchanging knowledge. We wanted to create a platform that makes it easy to connect students based on their academic needs and foster a collaborative learning community.
What it does Study Buddy is a platform that connects UK students based on their academic interests, allowing them to learn from and teach each other. Users can match with peers studying similar subjects, form study groups, and access collaborative tools to enhance their learning experience.
How we built it We developed Study Buddy using Next.js, React, MongoDB, WebRTC, Tailwindcss.
Challenges we ran into Designing an effective matching algorithm that ensures relevant connections. Implementing real-time messaging and notifications without delays. Ensuring a user-friendly interface that encourages engagement and interaction.
Accomplishments that we're proud of Successfully creating a working prototype that enables students to find study partners. Implementing a smooth user experience with a clean and intuitive UI. Overcoming technical challenges in integrating real-time features and user authentication.
What we learned The importance of user engagement in a social learning platform. Optimizing database queries to handle user connections efficiently. Building a scalable and maintainable backend architecture.
What's next for Study Buddy Expanding matching criteria to include skill levels and preferred learning styles. Gamification features to encourage consistent learning and collaboration.
Built With
- mongodb
- nextjs
- react
- tailwindcss
- typescript
Log in or sign up for Devpost to join the conversation.