Mobile Application
AI-powered mobile app for automated receipt text recognition, expense categorization, analytics, and conversational data exploration.
Project Overview
A mobile application that uses AI and machine-learning models to scan receipts, extract text through OCR, and categorize expenses automatically. It was built with Flutter for cross-platform delivery and Firebase for real-time data synchronization.
Why it was needed
Manual expense tracking is tedious and error-prone. This project automates receipt capture and categorization so personal spending information is easier to record and understand.
Inside the project
A closer look at the interfaces and practical workflows included in Smart Expense Tracker App.
Project Questions
Clear answers about what Smart Expense Tracker App does and how it was built.
The mobile app uses OCR and AI models to extract text from receipt images, then organizes the captured information for expense tracking and categorization.
Users can review expense history, explore category analytics, and use the built-in chatbot to ask questions about the recorded spending data.
The cross-platform mobile app was built with Flutter, Python-based AI and machine-learning components, and Firebase for real-time data synchronization.
Have a project in mind?
Share the problem or workflow you want to improve. The initial consultation is free, with no charges.