Spend Analyzer

Spend Analyzer is a full-stack app for managing and tracking expenses. It lets you add, update, and categorize expenses while providing analytics to visualize spending by date range or month.

Demo and live app

• Live App:- https://spend-analyzer.streamlit.app/

Built With

• Python
• FastAPI
• Streamlit
• MySQL DataBase
• Data Visualisation using pandas, matplotlib and seaborn.

Features

• Add and Update Expenses: Easily add and change your expenses by date and category.
• Analyze by Date Range: View your expenses for a selected time period.
• Monthly Analysis: See how much you spend each month and track trends.

Project Structure

The project has the following folders:

• frontend/: Contains the code for the Streamlit app, where you interact with the tool.
• backend/: Contains the code for the FastAPI server, which handles the data and requests.
• tests/: Contains test files to check if everything is working properly.
• requirements.txt: Lists all the Python libraries needed to run the project.
• README.md: This file, which explains the project and how to use it.

Getting Started

Follow these steps to set up the Expense Analyzer on your system.

Installation

1. Clone the project repository:

   git clone https://github.com/Jeysiva-apjs/spend-analyzer.git
   cd expense-analyzer
   

2. Install dependencies:

    pip install -r requirements.txt
   

3. Run the FastAPI server:

    cd backend
    uvicorn main:app --reload
   

4. Run the Streamlit app::

    cd frontend
    streamlit run app.py