AI-Powered Automated Event & Activity Matching

Overview

Ever missed a cool event just because it didn’t show up in your feed? Or worse—got recommended a totally irrelevant event? Traditional platforms like Meetups, Eventbrite, and Facebook Events use basic filters (date, location, category), which often result in poor recommendations.

For example, a first-year university student might be interested in tech hackathons and start-ups, meetups, but they keep getting event suggestions for generic career fairs instead. Or a gamer looking for eSports tournaments might only see local business networking events. What if AI could match students with events based on their interests, personality, and past engagement? Imagine a system that learns what kind of activities excite you—whether it’s coding boot camps, music festivals, anime conventions, or entrepreneur meetups—and suggests events accordingly.

Task

Build an AI-powered event recommendation system that analyzes user preferences, social behaviours, and past interactions to suggest hyper-relevant events. The model should continuously learn from user activity and suggest personalized networking opportunities, ensuring students never miss an event that matters to them.