💪 FitTrack - Your Personal Fitness Tracker

FitTrack is a modern, user-friendly fitness tracker application built using Python and PyQt5. It allows users to log and monitor their fitness activities such as calories burned, distance covered, and workout descriptions.

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Features

• User Authentication: Signup and login functionality with secure credentials.
• Workout Tracking: Log details like calories burned, distance covered, and workout descriptions.
• Database Integration: Persistent data storage using SQLite.
• Custom Styling: Modern UI with CSS-like styling.
• Table Display: View all workout records in a sortable and scrollable table.

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Learnings

1. GUI Development:

   • Building a responsive and interactive GUI using PyQt5.
   • Customizing components with setStyleSheet for enhanced aesthetics.

2. Database Integration:

   • Using SQLite with PyQt5 for data persistence.
   • Structuring and querying tables efficiently.

3. User Authentication:

   • Implementing secure user login and signup features.

4. Code Organization:

   • Modular structure for readability and maintainability.

5. Error Handling:

   • User input validation and handling database errors gracefully.

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Requirements

To run this project, ensure the following dependencies are installed:

• Python (>=3.6)
• PyQt5 (>=5.15)
• SQLite (comes pre-installed with Python)

Install dependencies using pip:

pip install PyQt5

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File Descriptions

File Name	Description
main.py	The main entry point for the application. Initializes the GUI and database.
fittrack.db	SQLite database file for storing user and workout details.
logo.ico	Application icon file.
bg.ico	Background image for the login dialog.

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Setup Instructions

1. Clone the repository:

   git clone https://github.com/vaibhavguptahere/FitTrack.git
   cd FitTrack

2. Run the application:

   python main.py

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Screenshots

Login Screen

Main Dashboard

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Future Enhancements

• Export Feature: Allow users to export their workout data as CSV files.
• Graphs and Analytics: Visualize progress over time using graphs.
• Cloud Integration: Sync data across devices using cloud storage.

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👥 Meet the Team

We’re a passionate team of developers, designers, and analysts. Here’s a bit about us:

Name	Role	LinkedIn Profile
🚀 Anshul Bhathija	Project Lead	LinkedIn
🖥️ Vaibhav Gupta	Design & Code	LinkedIn
🎨 Durgesh	Design & Code	LinkedIn
📊 Aditi	Research & Analysis	LinkedIn

Thank You

Thank you for taking the time to explore this project 😊