Overview

FitnessTracker is an experimental web platform that explores how AI-generated self-modeling can support behavior change in fitness contexts. The system allows users to select an ideal body shape, generates a personalized future-self video, and integrates it into a lightweight tracking and reflection interface.

It served as an early prototype for investigating how personalized AI representations influence motivation, perception, and adherence over time. The work informed later research directions on engagement decay and personalization.