Problem & Solution
Users struggle to maintain financial discipline and understand spending patterns without easy-to-use tools.
Spending Analytics
Real-time dashboard with category charts and monthly trends.
Receipt Scanning
Text extraction + auto category classification with ML Kit.
Smart Notifications
Budget reminders and savings recommendations based on behavior.
Project Facts
Key Features
What I Built
Highlight features that deliver value to users.
Quick Entry
Add transactions with preset categories & favorites.
Cloud Sync
Firebase Auth + Firestore for multi-device access.
Security
Secure login, input validation, and sensitive data protection.
Offline First
Local caching with automatic sync when online.
Tech Stack
Tools & Technologies
Technologies used to build this solution.
Android StudioKotlinFirebase AuthCloud FirestoreFirebase StorageML KitFigma
Process
Development Process
- User needs research & mobile-friendly user flow design.
- Built MVVM architecture with repository pattern.
- Integrated Firebase Auth, Firestore, and Storage for receipt proofs.
- Applied ML Kit for OCR and category classification.
- Limited testing, UI/UX iteration, and performance optimization.
Impact
Results & Impact
- 92% category classification accuracy on test samples.
- Transaction input time reduced ~60% via receipt scanning.
- 4-week trial retention reached 78%.