Monify: an Expense tracker Program implemented in a Graphical User Interface that allows users to keep track of their expenses

Overview

💳 MONIFY (EXPENSE TRACKER PRO) 💳

Description

Monify is an Expense tracker Program implemented in a Graphical User Interface allows users to add income and expense based on categories & date (Food & Drinks, Groceries, Shopping, Housing, Transportation, Life & Entertainment, Miscellaneous).

It also gives the functionality to Add budget per month, Input of debts and An operation to view the statistics of spending and where their money goes based on categories in a visual representation pie chart (shows the total amount spent in each category) and bar chart (compares the total expense over time to the individual income). The functionality of a shopping list and emergency fund is also added to the program to allow for savings for future purposes and accountable spending when going shopping.

Functionalities

Add_income

Add_expenditure

View_statistics (Spending chart, Income-Expense chart)

Input Shopping list

Debt Account (Add debt Pay Debt)

Emergency Funds

Files Handling

The files that are to be created when the user runs the program are: Month.csv - This file contains the income, and expenses(in each categories) of the user in each month according to their input

Debt records.csv - Contains the user debt records, (amount borrowed, lender, due date, date borrowed)

Emergency funds.csv - Contains the user savings

Shopping list.csv - A file to store the user shopping list and items they want to purchase alongside thier prices

Budget records.csv - A file that contains the user proposed budget in each category

Getting Started

Prerequisites

After cloning this repository you must install the following libaries:

    pip install pandas
    pip install matplotlib
    pip install tkinter

The project has 2 parts the main.py and the tkinter.py, the main.py can be run normally like a python file the tkinter.py can be run as a python file and on the command line. They both work independently

💰 Happy Savings 💰

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I am a Data and Solutions-driven Computer Science student enthusiastic about technology, software development and other full-stack development practices.
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