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[ARTICLE · art-144962] src=dev.to ↗ pub= topic=ai-tools verified=true sentiment=↑ positive

Student Expense AI: Helping My Friend Spend Smarter

A developer built Student Expense AI, a tool that lets a college friend log expenses by typing natural-language entries such as "I spent ₹180 on lunch today," which the system then categorizes and tracks against budgets. The project uses React, FastAPI, and PostgreSQL, with the open-weight Gemma model handling the natural-language parsing so core AI functionality does not depend entirely on a closed API.

by read1 min views1 publishedOct 4, 2026

This is a submission for the Hacktoberfest Weekend Challenge: Build for a Friend I built Student Expense AI for a college friend who struggles to track daily expenses.

Instead of manually adding every expense, they can simply type:

"I spent ₹180 on lunch today."

The AI understands the expense, categorizes it, and helps track budgets and spending.

[https://expanse-checker-diqw360kj-amanumrao28-1097s-projects.vercel.app/](https://expanse-checker-diqw360kj-amanumrao28-1097s-projects.vercel.app/)

[https://github.com/amanumrao28-png/Expanse_Checker/tree/main](https://github.com/amanumrao28-png/Expanse_Checker/tree/main)

Built with React, FastAPI, PostgreSQL, and Gemma.

Gemma is used for:

Using open-weight **Gemma** gives the project more flexibility and allows the core AI functionality to run without depending entirely on a closed AI API.

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