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PYTHON / STREAMLIT / DATA VISUALIZATION

SMART EXPENSE TRACKER

A web-based Expense Tracker developed using Python and Streamlit to help users record, manage, and analyze daily expenses efficiently.

Case
02 / 04
Stack
Python · Streamlit
Year
2026
CASE STUDY
OverviewWorkflowImplementationTakeaway

01 / OVERVIEW

Project overview

The Smart Expense Tracker is a web-based application built with Python and Streamlit that helps users record, manage, and analyze daily expenses efficiently.

Expenses are categorized and stored in a structured form, with real-time updates and interactive visualizations that make spending analysis straightforward through a user-friendly interface.

02 / WORKFLOW

Application workflow

  1. RECORD EXPENSE01
  2. CATEGORIZATION02
  3. STRUCTURED STORAGE03
  4. REAL-TIME UPDATE04
  5. SPENDING ANALYSIS05
  6. INTERACTIVE VISUALIZATION06

03 / MANAGEMENT

Expense management

  • Expense categorization
  • Real-time updates
  • User-friendly interface

04 / DATA

Data organization

  • Structured data storage

05 / VISUALS

Visual analytics

  • Interactive visualizations
  • Spending analysis

06 / TECHNOLOGY

Technology

  • Python
  • Streamlit

07 / DEPLOYMENT

Deployment

The application is developed, tested, deployed, and maintained as a live Streamlit web app.
Live project

expense-akshay.streamlit.app

PROJECT TAKEAWAY

What it adds up to.

The Smart Expense Tracker shows how a focused Python and Streamlit stack can deliver a complete deployed product — from recording and structured storage to interactive visualization and spending analysis.