Build a Python application that helps users manage their personal finances by tracking expenses, generating budgets, and offering personalized insights.

Key Features:

Expense Tracking:

Users can input daily expenses $($category$,$ amount, and date$).$Data is stored persistently $($e$.$g$.,$ using SQLite or CSV files$).$

Budgeting Tool:

Allows users to set monthly budgets for various categories $($e$.$g$.,$ food, transport, entertainment$).$Displays how much of the budget remains for each category in real time.

Visual Analytics:

Use matplotlib or seaborn to create bar charts or pie charts showing spending trends.Generate monthly spending reports for users.

Alerts:

Notify users when they are close to exceeding their budget in any category.

Customization:

Users can add, edit, or remove expense categories.Dark mode and theme customization for the interface.

Offline Mode:

App works without an internet connection $($data is stored locally$).$

Future$-$Proofing:

Allow users to export their spending data to a CSV file for backup.

Optional Advanced Features:

Integration with APIs:

Use APIs like Open Exchange Rates to manage expenses in multiple currencies.

AI$-$Powered Recommendations:

Leverage a simple machine learning algorithm to recommend areas for saving money based on past trends.

Voice Input:

Allow users to add expenses via voice commands using a library like speech$\_$recognition.

Technologies to Use:

Core Python: Logic, calculations, and file handling.

GUI Framework: Use tkinter or PyQt to create a user$-$friendly interface.

Database: SQLite for managing and querying financial data.

Visualization: matplotlib or seaborn for spending analytics.