Personal Expense Tracker

This project is a Personal Expense Tracker built using Python, Pandas, NumPy, and Matplotlib. It helps users record daily expenses, analyze spending patterns, and visualize category-wise spending. The goal of the project is to improve financial awareness and budgeting habits by showing clear insights into where money is being spent.

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✨ Project Overview

Managing personal expenses is important for tracking savings and avoiding unnecessary spending. This project provides a simple menu-based system where users can:

• Add daily expense records
• View all saved expenses
• See monthly spending totals
• Analyze category-based spending
• Generate bar chart visualizations

All expense records are stored in a .csv file so data is not lost when the program is closed.

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🧠 Key Concepts Used

Concept / Library	How It Is Used
Pandas	Storing, reading, grouping, and analyzing data
NumPy	Supporting numerical operations for calculations
Matplotlib	Creating bar charts for spending visualization
CSV File Storage	Saving expenses permanently without database

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📂 How the Project Works

1. When the program starts, it checks if expenses.csv exists.
   • If not found, a new file is created.
2. The user interacts with a menu to perform actions.
3. Data entered is stored as a new row in the CSV file.
4. Grouping and summarizing is done using Pandas:
   • By Month → total spending per month
   • By Category → total spending per category
5. A bar chart is displayed showing spending comparison between categories.

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🖥️ Menu Options

Option	Description
1	Add a new expense entry
2	View all expenses in table form
3	Show monthly spending summary
4	Show category-wise spending & bar chart
5	Exit the program

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📊 Example Output (Category Summary)