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ApnaBudget – Smart Financial Tracking for Pakistan

A mobile-first personal finance platform that helps Pakistani users track spending automatically through SMS and notifications.

Client
Team ApnaBudget
Duration
6 months
Team Size
3 engineers
Completed
June 2025

Project Overview

ApnaBudget was born from recognizing the financial management challenges faced by Pakistani users, particularly students and young professionals who rely heavily on digital payments but lack proper expense tracking tools. Our team identified that most existing solutions were either too complex or not localized for the Pakistani market.

The Challenge

The main challenges included parsing unstructured SMS data with inconsistent formats across different banks and payment services, ensuring robust security while handling sensitive financial information, creating an intuitive interface for users with varying technical backgrounds, and maintaining accurate OCR performance on diverse Android devices with varying camera qualities.

Our Solution

We developed a comprehensive mobile-first platform that automatically parses SMS and push notifications from major Pakistani financial institutions. The app features intelligent categorization, OCR-based receipt scanning, budget tracking, and localized UI supporting both English and Urdu languages.

Key Features

📱

Smart SMS Parsing

Automatically extracts transaction data from bank and wallet SMS notifications

📷

OCR Receipt Scanning

Convert receipt images to expense entries using advanced OCR technology

💰

Budget Management

Create and track custom budgets with category-wise spending limits

🌐

Multi-language Support

Native support for English and Urdu languages

📊

Visual Analytics

Comprehensive charts and insights for spending patterns

🔒

Secure Data Handling

End-to-end encryption for all financial data and transactions

Technical Challenges & Solutions

SMS Format Inconsistency

Each bank and financial service uses different SMS formats and structures for transaction notifications.

Solution: Developed a robust NLP pipeline with pattern recognition that adapts to various SMS formats and continuously learns from new patterns.

Data Privacy & Security

Handling sensitive financial data requires strict security measures and compliance with local regulations.

Solution: Implemented end-to-end encryption, local data processing, and followed international security standards for financial applications.

User Experience Design

Creating an interface simple enough for non-technical users while maintaining powerful functionality.

Solution: Conducted extensive user research and iterative design testing with target demographics to optimize the user experience.

Device Performance

Ensuring consistent OCR accuracy and app performance across various Android devices with different specifications.

Solution: Optimized algorithms for mobile processing and implemented adaptive quality settings based on device capabilities.

Project Gallery

ApnaBudget – Smart Financial Tracking for Pakistan - Gallery Image 1
ApnaBudget – Smart Financial Tracking for Pakistan - Gallery Image 2
ApnaBudget – Smart Financial Tracking for Pakistan - Gallery Image 3
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Project Timeline

1

Market Research & Planning

3 weeks

User interviews, market analysis, and technical planning for Pakistani fintech landscape

Market research report
User persona development
Technical architecture design
2

MVP Development

10 weeks

Core SMS parsing, basic UI, and expense categorization functionality

SMS parsing engine
Basic expense tracking
User authentication system
3

OCR Integration & Testing

6 weeks

Receipt scanning functionality and extensive testing with local users

OCR receipt scanning
User testing feedback
Performance optimizations
4

Beta Launch & Iteration

4 weeks

Beta release to FAST University community and iterative improvements

Beta app release
User feedback analysis
Feature refinements
5

Scaling & Partnerships

Ongoing

Expanding user base and exploring partnerships with financial institutions

Partnership discussions
Scaling infrastructure
Feature enhancements

Key Results

90%
Manual Effort Reduction
Users report significant reduction in time spent on manual expense tracking
12+
Bank Integrations
Successfully integrated with major Pakistani banks and digital wallets
100+
Beta Users
Active beta testers from FAST University and surrounding community
International Recognition
Recognition
Recognized by Top Tech Firms for potential collaboration opportunities

Technologies Used

Flutter
Next.js
Express.js
FastAPI
MongoDB
GKE
AWS
Tesseract OCR

Before vs After

Manual Tracking Time
30+ minutes daily 3 minutes daily
Expense Accuracy
60% 95%
Budget Adherence
25% 80%
Financial Awareness
Low High

Client Testimonial

"Entropik Labs has been instrumental in bringing our vision for ApnaBudget to life. Their technical depth and product thinking helped us turn a complex idea into a usable, scalable solution."
Mr. Muhammad Affan
Mr. Muhammad Affan
Co-Founder, ApnaBudget

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