SmartSpend - Expense Tracker with Analytics

SmartSpend is a Python-based Expense Tracker application that helps users manage and analyze their daily expenses efficiently. The project includes a modern dark-themed GUI, SQLite database integration, and pie chart analytics for visualizing spending habits.

This project was built using Python, Tkinter, SQLite, and Matplotlib.

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Features

• Add new expenses
• Delete expenses
• View all saved expenses
• Category-based expense tracking
• Real-time total spending calculation
• Pie chart analytics for expense visualization
• SQLite database integration
• Dark-themed desktop interface

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Technologies Used

• Python
• Tkinter
• SQLite3
• Matplotlib

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Project Structure

ExpenseTracker/
│
├── main.py
├── database.py
├── tracker.db
├── requirements.txt
└── README.md

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Installation

1. Clone the Repository

git clone https://github.com/your-username/SmartSpend.git

2. Open the Project Folder

cd SmartSpend

3. Install Required Libraries

pip install matplotlib

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Run the Project

First create the database

python database.py

Then run the application

python main.py

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Screenshots

Main Dashboard

Add your screenshot here.

![Dashboard](screenshot.png)

Expense Analytics

Add your analytics chart screenshot here.

![Analytics](analytics.png)

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How It Works

Users can enter:

• Expense title
• Amount
• Category
• Date

The data is stored permanently using SQLite database. The application also generates a pie chart that shows category-wise spending distribution.

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Future Improvements

• Monthly expense reports
• Export data to Excel/CSV
• User authentication system
• AI-based spending suggestions
• Cloud synchronization
• Advanced filtering and search

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Learning Outcomes

This project helped in understanding:

• GUI development using Tkinter
• Database handling with SQLite
• CRUD operations
• Data visualization using Matplotlib
• Python application structure

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Author

Developed by Dhairya

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License

This project is open-source and available under the MIT License.