campus study

Inspiration

Many students struggle to find serious and compatible study partners. Most rely on random class groups or WhatsApp chats that are unstructured and unproductive. We wanted to use AI to solve a real campus problem — helping students connect with the right people to improve learning, accountability, and academic performance.

What it does

Campus Study Match is an AI-powered platform that connects students with ideal study partners or small study groups based on their course, study habits, availability, and goals. The system analyzes student profiles and recommends highly compatible matches. It also includes group chats, scheduling support, and an AI study assistant that can summarize notes and generate practice questions.

How we built it

We built a web application using React and Tailwind CSS for the frontend to create a modern and mobile-friendly interface. The backend was developed using Laravel/Supabase with a PostgreSQL database to manage user data and study groups. AI capabilities were integrated using an API to analyze student inputs, calculate compatibility scores, and power study assistance features.

Challenges we ran into

One major challenge was designing a fair and meaningful matching system. Study habits and commitment levels are subjective, so we had to carefully structure how AI interprets user inputs. Another challenge was balancing feature ideas with time constraints, which forced us to prioritize a strong MVP instead of building everything at once.

Accomplishments that we're proud of

We successfully created a working AI-based matching concept that solves a real student problem. We designed a clean user experience, built profile-based compatibility scoring, and demonstrated how AI can go beyond chatbots to improve collaboration and learning in schools.

What we learned

We learned how AI can be applied to social and educational problems, not just technical tasks. We also improved our skills in product design, user experience thinking, and building systems that focus on real human needs.

What's next for Campus Study Match

Next, we plan to improve the AI matching algorithm, add school email verification for trust and safety, introduce calendar integration, and expand the AI study assistant into a full academic support tool. Our long-term goal is to scale across multiple campuses and become the go-to platform for collaborative learning.

Built With

• react
• tailwind
• websockets