Free WordPress Plugin: Track your calorie burn with our free calorie calculator. Quickly estimate your calories burned based on activity and duration. www.calculator.io/calories-burned-calculator/
- Updated
May 15, 2024 - JavaScript
Free WordPress Plugin: Track your calorie burn with our free calorie calculator. Quickly estimate your calories burned based on activity and duration. www.calculator.io/calories-burned-calculator/
Calories-Burned-Prediction Using Machine Learning. (Regression Use Case)
Swift SDK for submitting products into Open Food Facts database. Written on SwiftUI+Combine, distributed via SPM
🫀 🫁 Cardyo is a sports WatchOS application that records and calculates cardiovascular metrics with HealthKit. This application is designed for people who enjoy sports commonly played in Indonesia and wants to tracked their cardiovascular metrics. 👟 🏸
A machine learning project which predicts the healthcare based on given certain features.
Predict calories burned during workouts using ML & ANN. Built with Keras, pandas, and scikit-learn.
A machine learning project that predicts Calories burnt using XGBoost regressor.
🏃♂️ Predict calories burnt with a machine learning model that analyzes personal data and exercise metrics for accurate estimations.
Calories burned prediction using machine learning
Calories burned prediction using machine learning
A simple application for burned calories prediction during exercise
This project involves building a regression model to predict the number of calories burned during exercise based on input features like age, weight, height, gender , session duration etc... The model is trained to minimize the error's and providing accurate predictions of calories burned.
An application that proposes an estimate of TDEE (Total Daily Energy Expenditure) based on a person's step count and offers to track TDEE over time.
Calories Burnt Prediction
This system is a machine learning-based web application built with Python, Scikit-learn, and Flask that predicts the calorie expenditure based on various features such as Weight, Height, Body Temperature, and Heart Rate.
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