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Illustrative concept project — this is not a verified client case study. The project details and outcomes shown here are not claims about completed client work.

MobileAIFinTech

FinTrackAI-Powered Expense Management App

A mobile expense tracker that reads receipts with AI, categorises spend automatically and gives users a real-time view of their money.

202514 weeks
FinTrack  AI-Powered Expense Management App  project thumbnail
Overview

The Project

FinTrack started as a simple idea: personal finance should not require a spreadsheet and a weekend. The client wanted an app that removes the friction of tracking expenses no manual categorisation, no forgotten receipts, no guesswork.

We designed a mobile-first experience around a single, beautiful feed of spend. Every transaction is captured from bank sync or a photographed receipt, then run through an AI pipeline that extracts, classifies and enriches the data before it ever reaches the user's feed.

The result is a product people actually open: an effortless way to see where money goes, with insights that feel personal rather than generic.

The breakdown

Challenge, Solution & Results

How we approached the problem, what we built and the outcomes we're tracking.

The Challenge

Receipts come in every shape, size and language, and users expect instant accuracy. The core challenge was building an AI pipeline fast and reliable enough to feel magic while keeping sensitive financial data fully private.

Our Solution

We built a hybrid OCR + LLM pipeline with a human-review fallback, ran it on encrypted image storage, and layered on smart rules from transaction history so the app learns each user's categorisation habits over time.

Results

Verified outcome metrics are not available for publication yet.

Tech stack

Built With Modern Tools

React NativeNode.jsOpenAI APIOCRPostgreSQL

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