HackerFriend Finder

“AI-powered platform that connects developers and builds hackathon teams in seconds.”

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Inspiration

Hackathons are fast-paced events where participants often have great ideas but struggle to find teammates with the right technical skills. We wanted to solve the common problem of “I have an idea, but I need a Python or Flutter developer.” This inspired us to build HackerFriend Finder, an AI-powered platform that helps developers quickly discover and connect with potential teammates.

What it does

HackerFriend Finder helps developers find hackathon teammates based on skills. Users can register their technical skills, and others can search for developers using those skills. The platform uses Google Gemini AI to generate skill audit questions and create personalized invitation messages that can be sent directly through WhatsApp.

How we built it

We built the frontend using HTML, CSS, and JavaScript with a modern glassmorphism design. The backend was developed using Python and FastAPI, which handles the APIs and AI interactions. Google Gemini 1.5 Flash was integrated to generate technical questions for skill evaluation and create personalized invitation pitches. Developer data is stored in a lightweight JSON database.

Challenges we ran into

One of the main challenges was integrating the Gemini API and managing AI responses in real time. We also had to design a clean and responsive UI while ensuring smooth communication between the frontend and backend.

Accomplishments that we're proud of

We successfully built a fully functional AI-powered teammate discovery platform within a short time. The integration of AI skill auditing, personalized pitch generation, and WhatsApp messaging makes the platform both useful and interactive.

What we learned

During this project, we learned how to integrate AI APIs into real-world applications, design modern web interfaces, and build scalable backend services using FastAPI.

What's next for HackerFriend Finder

In the future, we plan to add real-time team matching, GitHub profile integration, advanced AI skill analysis, and a proper database like MongoDB to make the platform more scalable and powerful.

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