Enhancing Event Outcomes: Real-Time Attendee Matching and Engagement Strategies

PopIn is a mobile platform that helps people discover and connect with others at live events, venues, and social spaces. Whether someone is at a conference, a local bar, or a networking mixer, PopIn shows who’s around, what they’re up for, and who wants to meet — making it easier to break the ice and spark meaningful conversations.

This internship will support Popln’s next-generation mobile platform by integrating new prototyping features, applying data science principles, and architecting systems that are scalable, secure, and intuitive. This includes development of advanced, innovation-driven features like predictive machine learning models or intelligent user-matching algorithms. The project includes:

1. A smart matching system to pair attendees based on shared goals and interests.

2. A predictive event dashboard that uses machine learning to forecast attendance trends.

3. Real-time notifications to help users connect at just the right moment.

4. A full rollout to iOS and Android app stores using Expo and React.

Interns will gain practical experience working across the full technology stack — using React for the mobile interface, Python Flask for the backend, and MySQL for data management. Their work will help bring people closer together in a world where meaningful connection often gets lost in the noise.

Faculty Supervisor:

Svetlana Obraztsova

Student:

Partner:

DistApps Inc

Discipline:

Computer science

Sector:

Information and cultural industries

University:

Carleton University

Program: