Vox Wallet

Project Details

1. Core Problem Solved

Traditional personal finance management is plagued by two major issues:

• High Friction: Manual entry of expenses and income is tedious, time-consuming, and prone to error, leading most users to abandon the habit.
• Fragmented View: An individual's financial life is often scattered across multiple bank accounts and credit cards, making it difficult to get a single, unified view of their cash flow and financial health.

This results in a lack of clarity and control, causing financial anxiety for a large segment of the population, particularly for time-poor young professionals.

2. The Solution: Vox Wallet

Vox Wallet addresses these problems by building a financial management tool centered on automation and intuitive design. It shifts the burden of tracking from the user to intelligent technology, making it a seamless part of a user's day.

3. Key Features & Innovations

• Conversational AI Interface: The app's signature feature is a voice-first command system. Users can tap an orb and speak naturally (e.g., "I spent $25 on dinner and got paid $1,500").
  • Speech-to-Text: Audio is transcribed using OpenAI's Whisper model.
  • Natural Language Understanding: The transcribed text is then processed by a fine-tuned Microsoft Phi-3 model, which extracts the intent, entities (item, amount), and categorizes the transaction.
• Automated Bank Synchronization: Through a secure integration with GoCardless, users can connect to over 2,300 banks across Europe. The application periodically and automatically syncs all new transactions in the background.
• Intelligent Auto-Categorization: Raw, often cryptic, transaction data from banks (e.g., "TESCO STORES LTD #5841") is automatically sent to the AI engine, which cleans it up and assigns it a proper category (e.g., "Food and Groceries"). This provides users with an instantly understandable and actionable transaction history.
• Unified Financial Dashboard: All data, whether entered by voice or synced from a bank, is aggregated into a single, comprehensive dashboard. This dashboard provides users with:
  • Real-time key metrics (net flow, income, expenses).
  • Analytics on spending habits and trends.
  • Tracking for budgets and savings goals.

4. Technology Stack

• Frontend (Cross-Platform Mobile App):
  • Framework: Flutter
  • Language: Dart
  • State Management: Provider
• Backend (API Server):
  • Framework: FastAPI
  • Language: Python
  • Database: SQLite with SQLAlchemy ORM
  • Task Scheduling: APScheduler (for background bank syncs)
• AI & Machine Learning:
  • Speech Recognition: OpenAI Whisper
  • Language Model: Microsoft Phi-3
  • Core Libraries: PyTorch, Transformers
• Third-Party Services & APIs:
  • Open Banking: GoCardless
  • Payments: Stripe (for future subscription model)

5. Project Status & Next Steps

The project is currently a fully functional Minimum Viable Product (MVP) with end-to-end capabilities, from voice input and bank syncing to data display and categorization.

• Current Status: Core features are implemented and functional. The application successfully integrates voice commands and automated bank data into a unified user experience.
• Next Steps:
  • Feature Expansion: Build out more advanced features, such as investment tracking, debt management tools, and more sophisticated AI-driven financial advice.
  • Market Expansion: Execute the go-to-market strategy, focusing first on key European markets before expanding to the United States.
  • Monetization: Implement the tiered subscription model (Plus and Pro) using the existing Stripe integration.

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