Fluxor: Autonomously Iterative AI UX
Summary
For UofT hacks, we built Fluxor, an infrastructure for businesses' websites which observes user behavior, detects friction points, and automatically adjusts the interface to improve retention. This fully automates the process of A/B testing.
Big idea
How can we autonomously optimize user interfaces in real-time by analyzing user behavior and friction points?
Roles/responsibilities
- Graphic Design
- Terminal UI Implementation
- AI/ML Integration
Info
Event: UofT Hacks
Team size: 4
Timeline: 36 Hours (Hackathon)
Tools used: AI/ML, Terminal UI, Graphic Design Tools

