Inspiration

Our inspiration was the idea that, everyone wants to know what Ronaldo does everyday, what was his daily workout, sleeping routine, nutrition. So an idea came to mind, what about a social media, but for athletes, either pros, or beginners, for everyone to share progress, ask questions, and communicate

This idea was further encouraged by the fact that, a social media platform is a great place to implement advanced AI-fueled recommendation systems, that need to work in real-time, which fits the hackathon's theme.

How we did it

We relied on fine-tuning a model on fitness social media posts (datasets that we grabbed from Kaggle, but also generated ourselves, which are mostly reddit subreddits e.g. r/Fitness), relying on semantic similarity, handling embeddings, and involving weighted personal information into the recommendation.

We developed a mobile app with Flutter, relied on a Kafka + Flask backend which is the standard for real-time distribution.

We fine-tuned a T5 model and GPT2 combo for best accuracy.

What are the plans for it

Our recommendation system could become much more advanced and much more faster, despite current decent results.

Our 2 main features that we plan to implement next are a continuous learning feedback loop, tracking users' attention span, likes/dislikes to make better embeddings. And decentralized local models, to maximize privacy.