Budget Tracker Client Application

Overview

The Budget Tracker Client Application allows users to:

• Sign up and log in.
• Add expenses with auto-categorization using SageMaker/OpenAI.
• Fetch user spending summaries (budget vs. actual spending).
• Retrieve notifications for exceeded budgets.
• A sample user (username: newuser, password: password123) is included to help with testing. This client interacts with a preconfigured server that handles all backend processing.

System Requirements

• Python 3.7+
• Required Python libraries:
  • requests
  • matplotlib
  • configparser
• Install dependencies using:

How to Run

1. Save the client script to a file, e.g., client.py.
2. Open a terminal in the script directory.
3. Run the program using:

Step-by-Step Flow

Sign Up

1. Choose option 1 (Sign Up).
2. Enter a new username, email, and password to register.
3. A confirmation message will be displayed if registration is successful.

Log In

1. Choose option 2 (Log In).
2. Enter your username and password.
3. Successful login will save the session token in a configuration file for future use.

Fetch User Data

1. Choose option 3 (Fetch User Data).
2. This retrieves your spending data, including actual spending and budgets.
3. A bar chart visualizing your data (budget_vs_spending.png) will also be saved in the current directory.

Fetch Alerts

1. Choose option 4 (Fetch Alerts).
2. This retrieves and displays notifications for budgets exceeded.

Add Expense

1. Choose option 5 (Add Expense).
2. Enter a description and amount for the expense.
3. The system categorizes the expense (using SageMaker/OpenAI) and adds it to your records.

Sample User

• Username: newuser
• Password: password123

Brief Command Description

• Sign Up: Registers a new user with a username, email, and password.
• Log In: Authenticates the user and stores their session token.
• Fetch User Data: Retrieves and visualizes user expenses vs. budgets.
• Fetch Alerts: Displays notifications for exceeded budgets.
• Add Expense: Adds a new expense with auto-categorization.