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.

This is a submission for the Hacktoberfest Weekend Challenge: Build for a Friend https://dev.to/challenges/hacktoberfest-weekend-2026-10-01 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. Add DevRelay session if available