The Calorie Burn Prediction Model utilizes the XGBRegressor, a powerful machine learning algorithm, to estimate the number of calories burned by an individual during physical activity. The model takes into account various parameters such as gender, age, height, weight, duration of exercise, heart rate, and body temperature. Employing the XGBRegressor algorithm allows the model to handle complex relationships among the input parameters and predict the calorie expenditure accurately.