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
📥 Download & Run Instructions
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