Calorie Burn Tracker using Python & Machine Learning

The Calorie Burn Tracker is a web-based application designed to help users monitor, record, and analyze their daily calorie expenditure effectively. Physical fitness has become a necessity in modern lifestyles, yet many individuals struggle to maintain a consistent routine due to a lack of proper tracking tools. While wearable devices offer activity monitoring, they can be costly and sometimes lack customizability. The Calorie Burn Tracker project addresses this gap by providing an affordable, accessible, and customizable platform for tracking calories burned during physical activities.

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Tech Stack Used

Frontend / Web Interface:

Django (Python Web Framework) - Used to create the web interface for user input, displaying predictions, and managing data

HTML5, CSS3, JavaScript - For rendering and styling web pages

Bootstrap (optional) - For responsive UI components

Django Templates - For dynamic web page rendering

Machine Learning / Backend Logic:

scikit-learn - Machine Learning library used to implement algorithms like Logistic Regression, Decision Tree, Random Forest, KNN

NumPy - For numerical operations and matrix manipulation

Pandas - For handling and preprocessing datasets

joblib - To save and load the trained machine learning model

Database:

SQLite - Lightweight relational database used to store user data and predictions

Django ORM (Object Relational Mapper) - Handles interaction between Django models and the SQLite database

Tools & Environment:

Python 3.x - Core programming language used

PyCharm - IDE for development

Virtualenv / pip - For managing dependencies

Key Features of the Proposed System

a) User Registration and Profile Management

Users can register by entering personal details, which will be stored securely in the system's database. This profile data will be used to personalise calorie calculations and generate custom recommendations.

b) Activity Logging

Users can select the type of activity from a predefined database, specify the duration, and indicate the intensity level. This ensures that calorie burn estimates are as accurate as possible given the available inputs.

c) Calorie Burn Calculation

The system uses the MET method to calculate calories burned based on:

Activity type

Duration of exercise

User's weight

This ensures that the calculations are grounded in recognised scientific methods.

d) Progress Tracking and Reports

A historical log of all activities is maintained. Users can view progress reports with filters for daily, weekly, or monthly views. Graphs and charts are generated to make the data more visually engaging.

f) Responsive User Interface

The interface is designed for accessibility and ease of use, ensuring that even first-time users can navigate without confusion.

PHP Gurukul

Welcome to PHPGurukul. We are a web development team striving our best to provide you with an unusual experience with PHP. Some technologies never fade, and PHP is one of them. From the time it has been introduced, the demand for PHP Projects and PHP developers is growing since 1994. We are here to make your PHP journey more exciting and useful.

Email: info@phpgurukul.com

Website : https://phpgurukul.com