Demonstrate the underlying concepts of python programing with different learning paradigms.

Analyze and evaluate python code as well as model selection.

Construct and implement different algorithms in a variety of real$-$world applications.

Having an ability to design and conduct experiments, as well as to analyze and interpret data.

Project: Personal Finance Manager $($PFM$)$

Overview

This project entails creating a Simple Personal Finance Manager $($PFM$)$ using Python. The goal is to assist users in managing their personal finances more effectively. The PFM will track income and expenses, categorize transactions, and provide visual representations of financial data. This project will allow you to demonstrate your understanding of Python programming concepts, data structures, object$-$oriented programming, and the use of external libraries. It is a group project that requires a blend of coding proficiency and practical application to solve real$-$world problems. To ensure effective collaboration and equitable distribution of work, groups must consist of $3-4$ members. Groups exceeding this number will not be accepted.

Objectives

Apply Python Programming Concepts. Use Python to create a functional personal finance management tool.

Utilize Data Structures. Demonstrate the ability to effectively use Python data structures, such as lists, dictionaries, tuples, and sets, to store and manipulate financial data.

Handle Input. Develop functionality to accurately read and process user inputs, including transaction details such as type, amount, category, date, and associated account. Also, incorporate a feature to import transaction data from a file format like CSV for processing multiple entries at once.

Filter and Analyze Data. Implement classes with filtering methods to allow users to view transactions based on various criteria, such as account type, category, transaction type, season, or year.

Visualize Data. Integrate external libraries to generate visual representations $($e$.$g$.,$ pie charts, bar graphs$)$ of financial data, aiding users in understanding their spending and income patterns.

Develop Interface. Create an intuitive interface $($CLI or GUI$)$ for easy application interaction.

Optional: Predictive Analysis. Optionally, incorporate predictive analytics for future spending forecasts.