Calorie Burn Tracker using Python & Machine Learning |...

Calorie Burn Tracker using Python & Machine Learning

Posted 2025-08-21 18:10:53

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.

Buy Project here: https://phpgurukul.com/calorie-burn-tracker-using-python-machine-learning/

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