Inspiration

The inspiration came from people we know, fellow computer science students who struggled to establish a sense of community in a large university setting, especially during the isolating times of COVID-19. We wanted to help students connect with their local communities and participate in activities that interest them.

What it does

PullApp will be a dynamic, location-based social app that connects users within their local communities, promoting an array of diverse experiences. Unlike conventional social apps, PullApp will use geo-tagged events to form hyper-local 'interest clusters' in real-time. It allows users to organize spontaneous events, explore new hobbies, and broaden their social circles, all without the obligations of membership fees or time commitments. Our innovative 'serendipity engine', powered by AI, uses location data and personal preferences to guide users towards new and interesting experiences.

How we are building it

The app will be built using modern software architecture principles. It will leverage APIs from platforms like Eventbrite, Google Earth, OSM, Bing Maps, Facebook Events, and Spotify to create a rich and interconnected social environment. The 'serendipity engine' will be developed with a mix of machine learning algorithms and AI like GPT-4 to provide personalized event recommendations.

Challenges we ran into

Still in the very early stage, we're balancing spontaneity with planning. Backend integration, and temporal suggestions.

What's next for PullApp

Development and Deployment.

Share this project:

Updates