📋 Project Overview & Problem Statement
Challenge: Manual expense tracking is tedious, error-prone, and time-consuming. People struggle to maintain accurate financial records, often losing receipts or forgetting to log expenses, leading to poor budget management and financial oversight.
Solution: Expense Tracker AI revolutionizes personal finance management by using Google Gemini's vision AI to automatically extract expense data from receipt photos. Simply snap a picture, and the AI handles the rest - parsing merchant names, dates, totals, and individual items with remarkable accuracy.
Key Benefits
- Instant Processing: Transform receipt photos into structured expense data in seconds
- 99% Accuracy: Advanced OCR and AI parsing for reliable data extraction
- Smart Analytics: Visual spending insights with interactive charts and trends
- Privacy-First: All data stored locally in your browser, never uploaded to servers
- Zero Setup: No account required, start tracking expenses immediately
🛠️ Technical Architecture & Implementation
Frontend Framework
React 19.1+
TypeScript 5.8+
Vite 6.2+
Modern ES6+
PWA Ready
AI & Computer Vision
Google Gemini AI
Advanced OCR
Image Processing
Pattern Recognition
Data Extraction
Data Visualization & UX
Recharts 3.2+
Date-fns 4.1+
Tailwind CSS
Responsive Design
Local Storage API
System Architecture
Receipt Processing Workflow:
- Secure image upload with client-side preprocessing and validation
- Base64 encoding for efficient AI processing without server uploads
- Gemini AI API integration for intelligent receipt data extraction
- Real-time data validation and error handling with user feedback
- Local storage management with automatic data persistence
📖 Development Setup & Installation Guide
Prerequisites
- Node.js 16+ with npm package manager
- Gemini API Key from Google AI Studio
- Modern Browser with camera and file upload support
- Development Tools: VS Code with React/TypeScript extensions
Quick Start Installation
# Clone the repository
git clone https://github.com/lyven81/ai-project.git
cd ai-project/projects/expense-tracker-ai
# Install dependencies
npm install
# Set up environment variables
echo "GEMINI_API_KEY=your_gemini_api_key_here" > .env.local
# Start development server
npm run dev
# Open browser to http://localhost:5173
Environment Configuration
# Required API Configuration
GEMINI_API_KEY=your_gemini_api_key_here
# Optional Application Settings
VITE_APP_NAME="Expense Tracker AI"
VITE_MAX_FILE_SIZE=10485760
VITE_SUPPORTED_FORMATS="image/jpeg,image/png,image/webp"
Development Workflow
- Hot Reload: Vite provides instant feedback during development
- Type Safety: Full TypeScript support with strict type checking
- Component Testing: React Testing Library for UI component tests
- Code Quality: ESLint and Prettier for consistent code style
🚀 Deployment Options & Production Configuration
Google Cloud Run Deployment (Recommended)
# Build the application
npm run build
# Deploy to Google Cloud Run
gcloud run deploy expense-tracker-ai \
--source . \
--platform managed \
--region us-west1 \
--set-env-vars GEMINI_API_KEY=your_api_key \
--allow-unauthenticated
Alternative Deployment Methods
- Vercel: Zero-config deployment with automatic preview deployments
- Netlify: Static site hosting with form handling and serverless functions
- GitHub Pages: Free hosting for open-source projects
- Docker: Containerized deployment for any cloud provider
Production Optimizations
- Bundle Size: Code splitting and tree shaking for optimal loading
- Caching: Aggressive caching strategies for static assets
- Performance: Lazy loading and image optimization
- Security: CSP headers and secure API key management