Expense Analytics Dashboard

MITA-135 · Data Analysis · Project

Expense Analytics Dashboard

Analyzes spending by category, period and trend.

Suggested stack: Python / Dashboard

What you will build

Build Expense Analytics Dashboard to solve the stated problem.
Analyzes spending by category, period and trend.
Explain the decisions and your personal contribution.

Requirements

Include a reproducible analysis, clearly defined metrics, dataset provenance, cleaning decisions and a concise explanation of the findings.
Use the suggested stack as guidance: Python / Dashboard.
Process user data locally where practical; disclose any network transfer.
Use ordinary, edge-case and invalid inputs to test the core behaviour.
Do not include credentials, confidential records or unlicensed assets.

What to submit

GitHub repository or a clean source ZIP.
README with setup, testing and deployment instructions.
A short case study: problem, approach, features, contribution and results.
Desktop and mobile screenshots or a suitable prototype/demo.
Creator credits linking to the accepted team members’ Mita profiles.

How Mita School will review it

The stated core function works with the supplied test cases.
Invalid input has clear, safe error handling.
The project can be reproduced from the README.
Relevant screens work on desktop and mobile and with keyboard controls.
Claims, privacy notices and creator credits match the implementation.
Mita School reviews the project and checks deployment before publication.

Build instructions & prompt

Download this brief to keep the scope, requirements and build prompt together. Mita School may update the instructions as the project develops.

Download project brief (.md)