Calories Burned Prediction Using Machine Learning This project demonstrates a web application for predicting calories burned based on user inputs. It leverages a machine learning model to provide calorie estimates based on various physical and exercise parameters. Project Overview Model: Machine Learning model for calorie prediction Language: Python Framework: Flask (for web deployment) Tools/Libraries: NumPy Pickle Flask Project Structure app.py: Contains the Flask web application code to handle user input, make predictions using the model, and render the results on a webpage. index.html: The front-end template where users can input their data to get a prediction of calories burned. calorie_predictor_model.pkl: The saved machine learning model used for calorie prediction. requirements.txt: Lists the required Python libraries for the project. README.md: Documentation and overview of the project (this file). Web Application The application provides a user-friendly interface where users can enter details such as age, height, weight, exercise duration, heart rate, and body temperature. The application then uses the trained machine learning model to predict the calories burned. |