AI driven calories counting web app that will show you number of calories and amount of running you have to do to burn that many calories!
A machine learning web application built with Streamlit and XGBoost to accurately predict the calories burnt during a workout based on physical and physiological parameters.
Developed a Streamlit-based web app featuring regression prediction projects for House Price, Car Price, Gold Price, Medical Insurance Cost, Big Mart Sales, and Calories Burnt using various machine learning models.
A microservice-based application that predicts calories burned during exercise using user input. Built with Streamlit (frontend) and FastAPI (backend), and powered by a machine learning model trained on the Kaggle Playground Series S5E5 dataset.
Add a description, image, and links to the calories-burnt-prediction topic page so that developers can more easily learn about it.
To associate your repository with the calories-burnt-prediction topic, visit your repo's landing page and select "manage topics."