TrackFit

TrackFit

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.
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TrackFit gallery image
TrackFit gallery image
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What do you think? …

Kimmi Kumari
πŸ”₯ Super excited to share my very first launch on Product Hunt – Personal Fitness Tracker! This is a Streamlit-based web app that helps you predict calories burned during exercise with the power of machine learning. Just enter a few details like Age, Gender, BMI, Duration, Heart Rate, and Body Temperature, and the app gives you real-time calorie predictions. ✨ What makes it special Automatically picks the best ML model (Logistic Regression, SVM, or Random Forest) Tracks and saves your past predictions Visualizes your fitness journey with charts Lets you export your history as CSV for easy tracking πŸ’‘ I built this project to combine fitness + AI, making workout tracking a little smarter and more data-driven. I’d love to hear your feedback, suggestions, and feature ideas to take this to the next level. πŸ™Œ
Anisha Agarwalla

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.

Kimmi Kumari

Wow, thanks so much @anisha_agarwalla πŸ™ Really appreciate your perspective β€” 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 β€” 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. πŸ™Œ

Anisha Agarwalla

@kimmi_kumariΒ 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! :)

Kimmi Kumari

@anisha_agarwallaΒ Thanks so much! πŸ™Œ I’ll definitely hit you up on LI when I’m ready for testers. Great to have your support!

Josh Gallup

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?

Kimmi Kumari

@josh_gallupΒ Thanks a lot πŸ™Œ 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 β€” since accuracy really matters for runners like you.

Tuba Ismail

Congrats on your first launch! πŸŽ‰ 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! πŸ’ͺ

Akila PALANISWAMI
Hello @kimmi_kumari I am not a software developer but interested in using the product soon. Will it integrate with the food tracker apps too?