Collivra

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Inspiration

The inspiration behind Collivra came from a common problem faced by students: having great project ideas but struggling to find the right teammates and guidance to turn those ideas into reality.

Many students have different skills, interests, and levels of experience, but finding people who complement each other is not always easy. Even after forming a team, students often struggle to find mentors who can guide them academically or professionally.

We wanted to build a platform that makes this entire journey easier and smarter.

What it does

Collivra is an AI-powered project collaboration platform that connects students, mentors, and event organisers.

Its key features include:

AI-Powered Team Formation: Analyzes project requirements and identifies the skills, roles, and expertise needed to build a balanced team.
Intelligent Team Optimization: Helps match students based on skills, interests, experience, and availability.
AI Mentor Recommendations: Recommends college professors, industry experts, or both based on a project's academic and industry requirements.
Project Collaboration: Helps students organize their project ideas and team requirements.
Event Organiser Experience: Provides an environment for organisers to manage events and connect participants.
PayPal Integration: Supports payment workflows for eligible premium subscriptions and mentor-related services.

How we built it

We built Collivra using a modern web technology stack.

Frontend:

React 19 for interactive user interfaces.
Vite for fast development and production builds.
Tailwind CSS for responsive styling.

Backend and Database:

Supabase Authentication for user authentication.
Supabase PostgreSQL for data management.
Supabase Edge Functions for backend operations and AI processing.

Artificial Intelligence:

Google Gemini AI for project analysis and mentor requirement analysis.
Structured AI responses to identify project categories, complexity, required skills, and mentorship needs.
Rule-based fallback to maintain functionality when AI responses are unavailable or invalid.

Payments:

PayPal integration for eligible premium subscriptions and mentor-related payment workflows.

We designed Collivra as a connected platform where project analysis, team optimization, mentorship, and payments work together.

Challenges we ran into

One of our biggest challenges was designing an AI system that could understand different types of project descriptions and convert them into meaningful team and mentorship requirements.

We also had to handle inconsistent AI responses and API failures. To address this, we implemented response validation, normalization, and a rule-based fallback mechanism.

Another challenge was connecting different platform components, including authentication, database operations, AI processing, mentor matching, and payment workflows, while keeping the user experience simple.

Accomplishments that we're proud of

We are proud to have developed a platform that goes beyond traditional project collaboration.

Some of our key accomplishments include:

Building an AI-powered project requirement analysis workflow.
Developing an approach for balanced team formation using complementary skills and other matching factors.
Implementing an intelligent mentor recommendation workflow for academic and industry guidance.
Supporting both student and event organiser experiences.
Integrating PayPal payment workflows into our business model.
Bringing multiple capabilities together into one platform with a consistent user experience.

What we learned

While building Collivra, we learned that creating a useful AI-powered platform involves much more than connecting an AI API.

We gained experience in full-stack development, database integration, authentication, server-side functions, structured AI responses, error handling, and payment integration.

We also learned the importance of designing fallback mechanisms, validating AI-generated data, and building features around actual user needs rather than just adding technology.

Most importantly, we learned how to bring different technologies together to solve a real-world problem.

What's next for Collivra

Our vision is to make Collivra a complete ecosystem for student innovation and collaboration.

In the future, we aim to:

Improve AI-based team matching and recommendation accuracy.
Expand the network of college professors and industry mentors.
Introduce better project progress tracking and collaboration tools.
Expand partnerships with colleges, universities, and hackathon organisers.
Improve premium subscription and mentor-service payment experiences through PayPal.
Build a larger community where students can discover projects, collaborate, learn, and innovate.

Collivra — Smarter Teams. Better Projects.