Calories Burnt Prediction Web App

🔥 Calories Burnt Prediction Web App – AI Project for Health Enthusiasts

Calories Burnt Prediction

Are you a fitness enthusiast or developer interested in real-time calorie tracking using AI? The Calories Burnt Prediction web app , professional-grade machine learning project that predicts calories burnt during exercise based on user input like gender, age, height, weight, exercise duration, heart rate, and body temperature.

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📋 Project Details

Project Name Calories Burnt Prediction
Language/s Used Python
Python Version 3.x (recommended: 3.10+)
Framework/Library Used Streamlit, scikit-learn, pandas, joblib
Database Not Applicable
Type Web Application
Developer UPDATEGADH

🚀 Available Features

This professionally built web application includes the following features:

  • Real-time Calorie Prediction
  • Streamlit-based Web Interface
  • User Input Fields: Gender, Age, Height, Weight, Duration, Heart Rate, Body Temperature
  • ML Model Integration (Random Forest Regressor)
  • Clean UI with Sidebar Navigation
  • ‘Prediction’, ‘Code’, and ‘About’ Pages

💡 How It Works

Once the user inputs their personal metrics and exercise stats, the app processes the data through a trained machine learning model and displays the predicted calories burnt instantly.

  • The model is loaded via joblib
  • Input form built with Streamlit widgets
  • Backend logic processes data and predicts calories burnt using the Random Forest Regressor

Screenshot-2025-05-05-154855-1024x575 🔥 Calories Burnt Prediction Web App – AI Project for Health Enthusiasts
Screenshot-2025-05-05-154906-1024x552 🔥 Calories Burnt Prediction Web App – AI Project for Health Enthusiasts
Screenshot-2025-05-05-154929-1024x549 🔥 Calories Burnt Prediction Web App – AI Project for Health Enthusiasts

📥 Download & Run Instructions

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