TrackFit
Progress your fitness goals using machine learning
54 followers
Progress your fitness goals using machine learning
54 followers
The Personal Fitness Tracker! This Streamlit-based web application allows users to predict the calories burned during exercise. The app leverages machine learning models to provide accurate predictions and helps users track their fitness journey over time.
Launch Team
AWS Startup AdvisorPersonalized AWS guidance that meets you where you’re already building
Promoted
Hi @kimmi_kumari
Pretty cool to see. I'm a professional golfer (when I'm not helping build AI-powered interactive learning), so anything in the health and wellness space is always on my radar. I really LOVE this idea, because it will help me plan my workouts + food intake to make sure I'm in a deficit when I'm touring / on the road. I have two questions: Are you planning to integrate with actual trackers to measure accuracy, and how do you hope to account for changes in women's body in a month? You're on to something awesome, though! Excited to see where this goes.
Wow, thanks so much @anisha_agarwalla 🙏 Really appreciate your perspective — and it’s awesome to hear this resonates even with professional athletes like you! Right now, it’s an open-source project on GitHub, so the first version is more about data tracking and experimentation. But yes — integrating with wearables/trackers is definitely on the roadmap, since accuracy is crucial for real-world use.
On women’s health specifically, you bring up an important point. Hormonal cycles have a big impact on energy, weight fluctuations, and training. My plan is to explore ways of incorporating cycle-awareness into tracking models so the data reflects real progress, not just natural changes.
It’s early days, but hearing feedback like yours really motivates me to keep building in this direction. 🙌
@kimmi_kumari thanks, Kimmi, amazing to see that you're building products like this, especially with cycle-awareness. I'll be following your journey, and if you ever need a tester--hit me up on LI! :)
@anisha_agarwalla Thanks so much! 🙌 I’ll definitely hit you up on LI when I’m ready for testers. Great to have your support!
This is really cool, I've wanted something this to help with my marathon training. Do you plan on integrating with the apple watch or any wearables?
@josh_gallup Thanks a lot 🙌 Awesome to hear this could help with your marathon training! Right now it’s still early days on GitHub, but integrating with Apple Watch and other wearables is definitely on my roadmap — since accuracy really matters for runners like you.
Congrats on your first launch! 🎉 Track Fit looks like such a smart way to combine fitness with AI. I was actually looking for something like this. Excited to give it a try! 💪