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TrackFit: Machine Learning Fitness App for Calorie Prediction and Progress Tracking

By

Kimmi Kumari

8mo ago· 1 min readenProduct
Bagel score 38 of 100
38/100
Stale
Bagelometer

More crust than filling. Mostly air.

Score38Typepress releaseSentimentpositive

Summary

TrackFit is a Streamlit-based web application that uses machine learning to predict calories burned during exercise. Users input personal metrics like age, gender, BMI, duration, heart rate, and body temperature to receive real-time calorie predictions. The app automatically selects the best ML model (Logistic Regression, SVM, or Random Forest), tracks past predictions, visualizes fitness progress with charts, and allows data export as CSV.

Key quotes

· 5 pulled
This is a Streamlit-based web app that helps you predict calories burned during exercise with the power of machine learning
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 analysis
Snippet from the RSS feed
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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