# Cashero AI Project - Roadmap

This document outlines planned features, improvements, and enhancements for the Cashero AI Project.

## Vision

Build an intelligent, privacy-first personal finance management tool that helps users understand their spending patterns through intuitive visualization and AI-powered insights.

## Roadmap Phases

### Phase 1: Core Foundation (Current) ✅

- [x] Basic expense tracking
- [x] Category management
- [x] Local data storage
- [x] PIN security
- [x] Recovery phrase backup
- [x] Error logging system
- [x] Responsive UI

### Phase 2: Enhanced Analytics (Q2 2026)

- [x] Monthly spending summary
- [x] Category breakdown charts (pie charts, bar graphs)
- [x] Spending trend analysis (linear trend, growth rate)
- [x] Duplicate transaction detection
- [ ] Budget setting and tracking
- [ ] Spending goals and alerts
- [ ] Year-over-year comparison
- [x] Currency changing support

### Phase 3: Smart Features (Q3 2026)

- [ ] AI-powered expense categorization
- [ ] Duplicate transaction detection
- [ ] Recurring expense recognition
- [ ] Smart spending recommendations
- [ ] Expense pattern anomaly detection
- [ ] Natural language search

### Phase 4: Data & Export (Q4 2026)

- [ ] CSV/Excel export
- [ ] PDF report generation
- [ ] Data import from other apps
- [ ] Cloud backup (optional, encrypted)
- [ ] Transaction tagging and filtering
- [ ] Advanced search with filters

### Phase 5: Assistant Features (2027)

- [ ] Chatbot for transaction entry
- [ ] Voice input for expenses
- [ ] Receipt scanning with OCR
- [ ] Bill reminders and tracking
- [ ] Savings goal optimization
- [ ] Financial health score

### Phase 6: Social & Sharing (2027)

- [ ] Shared budget tracking with partners
- [ ] Family expense pooling
- [ ] Spending benchmarks vs. averages
- [ ] Privacy-preserving insights sharing
- [ ] Collaborative goal setting

## Feature Details

### Phase 2: Analytics Features

#### Monthly Summary Dashboard

- Total spending by month
- Average daily spending
- Highest spending category
- Number of transactions

#### Visual Analytics

- Category spending distribution (pie chart)
- Monthly spending trend (line chart)
- Top 5 spending categories (bar chart)
- Daily spending pattern heatmap

#### Budget Management

- Set monthly budget per category
- Budget vs. actual comparison
- Overspending alerts
- Budget flexibility settings

### Phase 3: Smart Features

#### AI Categorization

- Train on user patterns
- Auto-categorize new transactions
- Suggest category corrections
- Spending behavior learning

#### Anomaly Detection

- Detect unusual spending patterns
- Alert on suspicious transactions
- Identify one-time vs. recurring
- Period-appropriate spending suggestions

### Phase 4: Data Management

#### Export Capabilities

- CSV format for spreadsheet analysis
- PDF reports with charts and summaries
- JSON backup format
- Formatted receipts

#### Import Features

- Import from CSV files
- Support common formats (Chase, Amex, Banks)
- Duplicate handling
- Data validation

### Phase 5: AI Assistant

#### Voice & NLP

- "Spent $50 on lunch" → auto-parses and categorizes
- Natural language queries ("What did I spend on food?")
- Voice-to-text transaction entry
- Command support

#### Receipt Processing

- Take photo of receipt
- Extract items and total
- Auto-categorize based on vendor
- Store receipt image with transaction

## Technical Improvements

### Performance

- [ ] Implement data pagination for large datasets
- [ ] Optimize rendering for 10k+ transactions
- [ ] Add service workers for offline support
- [ ] Lazy load analytics components
- [ ] Implement caching strategies

### Code Quality

- [ ] Add unit tests (Jest/Vitest)
- [ ] Add integration tests
- [ ] Implement E2E tests (Cypress/Playwright)
- [ ] Add code linting (ESLint)
- [ ] Set up continuous integration

### Architecture

- [ ] Migrate to modular component structure
- [ ] Consider framework upgrade (React/Vue)
- [ ] Implement proper error boundaries
- [ ] Add state management (if needed)
- [ ] Improve API abstraction layer

### Security Enhancements

- [ ] Encrypt localStorage data
- [ ] Add end-to-end encryption
- [ ] Implement secure password hashing (if moving to cloud)
- [ ] Add session timeout
- [ ] Implement rate limiting
- [ ] Regular security audits

### Accessibility

- [ ] WCAG 2.1 AA compliance
- [ ] Screen reader support
- [ ] Keyboard navigation
- [ ] High contrast mode
- [ ] Text size adjustment

## Known Limitations & TODOs

### Current Limitations

1. Data stored only locally (browser-specific)
2. No cloud backup/sync
3. Manual categorization required
4. Limited analytics capabilities
5. No recurring expense support
6. No budget enforcement

### Technical Debt

- [ ] Refactor main.js into modules
- [ ] Add comprehensive error handling
- [ ] Improve CSS organization
- [ ] Add configuration management
- [ ] Implement proper logging framework

## Community Feedback

We welcome user suggestions for:

- New categories
- Feature requests
- UX/UI improvements
- Performance optimizations
- Integration ideas

## Timeline

| Phase   | Completion | Status         |
| ------- | ---------- | -------------- |
| Phase 1 | Q1 2026    | ✅ Complete    |
| Phase 2 | Q2 2026    | 🔄 In Progress |
| Phase 3 | Q3 2026    | 📅 Planned     |
| Phase 4 | Q4 2026    | 📅 Planned     |
| Phase 5 | Q1 2027    | 📅 Planned     |
| Phase 6 | Q2 2027    | 📅 Planned     |

## How to Contribute

1. Review the roadmap and pick a feature
2. Create a feature branch
3. Implement with tests
4. Submit pull request
5. Code review and merge

## Questions or Suggestions?

- Open an issue in the repository
- Email the development team
- Participate in community discussions

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Last Updated: April 7, 2026