Progress your fitness goals using machine learning
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.
🔥 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
💡 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. 🙌
About TrackFit on Product Hunt
“Progress your fitness goals using machine learning”
TrackFit launched on Product Hunt on September 16th, 2025 and earned 103 upvotes and 9 comments, placing #20 on the daily leaderboard. 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.
On the analytics side, TrackFit competes within Health & Fitness, Artificial Intelligence and GitHub — topics that collectively have 589.9k followers on Product Hunt. The dashboard above tracks how TrackFit performed against the three products that launched closest to it on the same day.
Who hunted TrackFit?
TrackFit was hunted by Kimmi Kumari. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of TrackFit including community comment highlights and product details, visit the product overview.
Kimmi Kumari