Calories Burnt Predictor

Project Information

View on GitHub
  • Category: Health & Fitness ML
  • Technologies: Scikit-learn Linear Regression Flask
  • Project Date: January 2024
  • Dataset: Exercise Calorie Dataset
  • R² Score: 0.93

Calories Burnt Predictor

A simple and basic ML model to predict how much calories are burnt with respect to the amount of exercise done in minutes.

Technical Approach

  • Linear regression with feature engineering
  • Exercise type classification system
  • User profile-based calibration
  • Multiple regression model evaluation

Key Features

  • Personalized recommendations based on user profile
  • Visualization of calorie expenditure over time
  • Goal tracking and progress monitoring
  • Multiple exercise type support
  • User-friendly web interface
Calorie Prediction Interface
Exercise Type Selection
Progress Tracking Dashboard