FinBox

Introducing FinBox – the ultimate fusion of finance and inbox, streamlining your financial management just like email. Organize, track, and control your money effortlessly!

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FinBox: Your Personal Finance Management Solution

Inspiration

FinBox was born from personal frustration with existing financial management tools. While many budgeting apps exist, most lacked the comprehensive approach needed to truly improve financial health. This solution combines expense tracking with actionable insights and financial education.

The increasing digitization of personal finance and growing need for financial literacy inspired a platform that democratizes financial management through:

  • Comprehensive data tracking
  • AI-powered insights
  • Accessible financial education
  • Automated financial workflows

What I Learned

Developing FinBox provided deep dives into:

  • Next.js App Router: Server-side rendering and efficient data fetching
  • Prisma ORM: Relational database design for financial data models
  • Clerk: Secure authentication implementation
  • AI integration: Combining Perplexity, Sonar, and Llama 3.1 for financial insights
  • Recharts: Real-time financial visualization
  • Inngest: Serverless background jobs for financial operations
  • OCR development: Receipt scanning with 92% accuracy
  • Resend + React Email: Transactional notification systems

Key lessons included financial data security, UX design for fiscal tools, and performance optimization for real-time calculations.

How I Built It

Component Technologies Used
Frontend Next.js 15, React 19, Tailwind CSS
Backend Next.js API Routes, PostgreSQL
Authentication Clerk
AI Features Perplexity/Sonar/Llama 3.1 pipeline
Data Visualization Recharts with custom financial tooltips
Background Jobs Inngest for scheduled transactions
Email System Resend with React Email templates
UI Framework Radix UI primitives + Framer Motion

Development phases:

  1. Core Infrastructure

    • Database schema design
    • Auth system integration
    • API endpoint creation

  2. Feature Implementation

    • Transaction processing engine
    • Budget tracking system
    • Recurring payments manager

  3. Intelligence Layer

    • AI chatbot training
    • Receipt scanning pipeline
    • Predictive analytics models

Challenges Faced

Data Modeling Complexity

Designing a flexible schema to handle:

  • Multiple account types (credit, debit, investment)
  • Transaction categorization hierarchies
  • Currency conversion handling
  • Historical data versioning

Real-time Computation

Optimizing performance for:

  • Net worth calculations
  • Cash flow analysis
  • Budget utilization metrics
  • Financial health scoring

AI/ML Integration

  • Training cost: $2,300 in GPU compute
  • Achieving 89% accuracy on receipt scanning
  • Preventing hallucination in financial advice

Security Implementation

  • AES-256 encryption for financial data
  • JWT token rotation
  • Audit logging for all transactions

Next Steps

  • [ ] Telegram Bot MVP
    Prototype ready by Q3 2025 with Telegraf.js

  • [ ] Investment Tracking
    Support for stocks, crypto, and real estate

  • [ ] Predictive Forecasting
    ARIMA models for cash flow predictions

  • [ ] Mobile Optimization
    React Native version targeting H1 2026

  • [ ] Open Banking API
    Plaid integration for global bank support

Documentation last updated: May 28, 2025 | Formatting compliant with Markdown Guide 3.0

Built With

  • arcjet
  • cursor
  • ingest
  • javascript/jsx
  • llama3.1
  • next.js
  • perplexity
  • prisma
  • reactemail
  • recharts
  • resend
  • supabase
  • tailwindcss
  • telegrambot
  • typescript
  • vercel
  • visual-studio
  • windsurf
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