<title>Personal Expense Tracker</title>

📊 Personal Expense Tracker [@Ghanshyam]

An intuitive and lightweight web app to help you track your personal expenses, categorize spending, and visualize spending patterns using interactive charts.

🚀 Features

• Add daily expenses with date, category, amount, and description
• Load existing expenses from a CSV file
• Save current expenses to a CSV file
• Visualize spending by category using a bar chart
• Persistent data handling via Streamlit session_state

🛠️ Technologies Used

• Python
• Streamlit – for UI and app deployment
• Pandas – for data manipulation
• Matplotlib & Seaborn – for data visualization

📦 Installation & Setup

# Clone the repository
git clone https://github.com/your-username/personal-expense-tracker.git
cd personal-expense-tracker
Install dependencies

pip install streamlit pandas matplotlib seaborn
Run the Streamlit app

streamlit run app.py

📁 Replace app.py with your actual Python file name if different.

✍️ How to Use

1. Add Expense: Use the sidebar to input date, category, amount, and description.
2. Save to CSV: Save your entries to a local CSV file using the sidebar button.
3. Load Expenses: Upload an existing CSV file to reload your expense data.
4. Visualize Data: Click the "Visualize Expenses" button to view your spending habits.

📈 Sample Visualization

The app uses Seaborn to display a bar chart comparing the total amount spent per category. Charts update dynamically based on the entered data.

📂 File Structure

├── app.py
├── expenses.csv  # (optional) generated by saving expenses
└── README.md
  

🙌 Acknowledgments

Thanks to:

• Streamlit for making Python apps so easy to build
• The amazing Python community for the libraries powering this tracker