SmartFinance.AI

AI-Powered Student Finance Management

SmartFinance.AI is an intelligent financial management platform designed specifically for students, leveraging AI to provide personalized financial guidance, loan management, and expense optimization.

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🌟 Key Features

1. AI Financial Advisor

• Personalized financial health analysis
• Smart spending recommendations
• Foreign country cost-of-living adjustments
• Loan repayment optimization
• Government grants and aid suggestions
• Investment opportunities (stocks, crypto)
• Extra earning recommendations

2. Financial Timelines

• Comprehensive cash flow visualization
• Loan payment deadline tracking
• Income stream monitoring
• Expense tracking
• Investment return projections

3. Cost Cutter

• AI-powered expense optimization
• Unnecessary cost identification
• Smart budgeting recommendations
• Location-based cost analysis

4. Financial Insights

• Interactive data visualizations
• Cash flow analytics
• Expense pattern analysis
• Savings projections
• Risk assessment metrics

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🛠️ Technology Stack

Frontend

• Next.js 14 (App Router)
• TypeScript
• Tailwind CSS
• Framer Motion
• Three.js (3D visualizations)
• Chart.js (Data visualization)

Backend

• Cloudflare Workers
• Vector Database (Cloudflare Vectorize)
• KV Storage
• Firebase (Auth & Firestore)

AI/ML

• RAG (Retrieval-Augmented Generation)
• Cloudflare AI Models:
  • @cf/meta/llama-2-7b-chat-int8 (Financial advice)
  • @cf/baai/bge-base-en-v1.5 (Embeddings)

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🏗️ System Architecture

High-Level System Design

graph TB
    subgraph "Client Layer"
        UI[Next.js Frontend]
        THR[Three.js Rendering]
        VIZ[Data Visualization]
    end
    subgraph "Edge Computing Layer"
        CF[Cloudflare Workers]
        AI[Cloudflare AI]
        VDB[(Vectorize DB)]
        KV[(KV Storage)]
    end
    subgraph "Authentication Layer"
        FA[Firebase Auth]
        FS[(Firestore)]
    end
    UI --> CF
    THR --> UI
    VIZ --> UI
    CF --> AI
    CF --> VDB
    CF --> KV
    CF --> FA

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RAG Implementation Flow

sequenceDiagram
    participant U as User
    participant W as Worker
    participant V as Vectorize
    participant KV as KV Store
    participant LLM as LLaMA-2
    U->>W: Financial Query
    W->>V: Search Similar Cases
    V-->>W: Return Matches
    W->>KV: Fetch Context Data
    W->>LLM: Generate Response
    LLM-->>W: Financial Advice
    W-->>U: Formatted Response

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Data Processing Pipeline

graph LR
    subgraph "Data Sources"
        FD[Financial Data]
        SD[Scholarship Data]
        ID[Investment Data]
    end
    subgraph "Processing"
        EMB[Embeddings]
        VEC[Vector Storage]
        CTX[Context Builder]
    end
    subgraph "Retrieval"
        QP[Query Processing]
        VS[Vector Search]
        RA[Response Assembly]
    end
    FD & SD & ID --> EMB
    EMB --> VEC
    VEC --> VS
    VS --> CTX
    CTX --> RA

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Component Architecture

graph TB
    subgraph "Frontend Components"
        DC[Dashboard]
        AA[AI Advisor]
        CC[Cost Cutter]
        TL[Timeline]
    end
    subgraph "Edge Services"
        AIS[AI Service]
        VS[Vector Search]
        KVS[KV Storage]
    end
    DC --> AIS
    AA --> AIS
    CC --> AIS
    TL --> AIS
    AIS --> VS
    AIS --> KVS

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🚀 Deployment

Prerequisites

• Node.js 18+
• Cloudflare Account
• Firebase Account
• Environment Variables Setup

Local Development

# Install dependencies
npm install

# Run development server
npm run dev

# Run tests
npm test

# Build for production
npm run build

Environment Variables

Create a .env.local file with:

CLOUDFLARE_API_TOKEN=your_token
FIREBASE_CONFIG=your_config
NEXT_PUBLIC_APP_URL=http://localhost:3000

Production Deployment

1. Fork this repository
2. Configure environment variables in Cloudflare Dashboard
3. Deploy using Cloudflare Pages:

npm run deploy

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🤝 Contributing

We welcome contributions! Please follow these steps:

1. Fork the repository
2. Create a feature branch (git checkout -b feature/AmazingFeature)
3. Commit changes (git commit -m 'Add AmazingFeature')
4. Push to branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

Development Guidelines

• Follow TypeScript best practices
• Write tests for new features
• Update documentation as needed
• Follow the existing code style

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📝 License

This project is licensed under the MIT License - see the LICENSE file for details.

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🙏 Acknowledgments

• Cloudflare for their AI and edge computing platform
• Firebase for authentication and database services
• The open-source community for inspiration and tools