ERNIE FinSight - Crypto Whitepaper Analyzer

Transform complex crypto whitepapers into beautiful, easy-to-understand insights using ERNIE AI

Built for the Baidu ERNIE AI Developer Challenge - DevPost

Qualifying for: Best ERNIE Multimodel Application | Sponsored by Novita

🚀 Live Demo

• 🌐 Website: https://ernie-fin-sight.vercel.app
• 📹 Video Presentation: Watch on Vimeo
• 🔧 Backend API: https://ernie-finsight.onrender.com

Try it now! Upload any crypto whitepaper and get instant AI-powered insights.

📖 Overview

ERNIE FinSight is an intelligent crypto whitepaper analyzer that leverages Baidu's ERNIE 4.5 multimodal AI model (via Novita AI API) to extract, analyze, and present complex whitepaper information in a beautiful, accessible web interface.

Key Features

• 📄 PDF Upload & Processing - Drag-and-drop interface with real-time progress
• 🧠 ERNIE AI Analysis - Comprehensive analysis using Baidu's ERNIE 4.5 VL model
• 💎 Beautiful Dashboard - Modern, financial-themed UI with smooth animations
• 📊 Structured Insights - Executive summary, tokenomics, roadmap, risks, and more
• ⚡ Fast & Async - Non-blocking background processing with status tracking

Tech Stack

Backend

• FastAPI - Modern Python web framework
• Novita AI API - Access to ERNIE 4.5 models
• ERNIE 4.5 VL - Baidu's multimodal AI model
• PyPDF2 & pdfplumber - PDF text extraction
• Pydantic - Data validation

Frontend

• React 18 - UI library
• TypeScript - Type safety
• Vite - Fast build tool
• Tailwind CSS - Styling
• Framer Motion - Animations
• React Router - Navigation
• Axios - HTTP client

Quick Start

💡 Want to try it immediately? Visit the live demo - no setup required!

Local Development

Prerequisites

• Python 3.9+
• Node.js 18+
• Novita AI API key (Get one here)

Backend Setup

1. Navigate to backend directory

cd backend

2. Install dependencies

pip install -r requirements.txt

3. Configure environment

# Create .env file
NOVITA_API_KEY=your_novita_api_key_here
MAX_FILE_SIZE_MB=10
UPLOAD_DIR=./uploads

4. Run the server

python main.py

The API will be available at http://localhost:8000

Frontend Setup

1. Navigate to frontend directory

cd frontend

2. Install dependencies

npm install

3. Run development server

npm run dev

The app will be available at http://localhost:5173

📚 API Documentation

Endpoints

POST /api/upload

Upload a PDF whitepaper for analysis.

Request:

• Content-Type: multipart/form-data
• Body: file (PDF file, max 10MB)

Response:

{
  "task_id": "uuid-string",
  "filename": "whitepaper.pdf",
  "message": "File uploaded successfully. Processing started."
}

GET /api/status/{task_id}

Check processing status.

Response:

{
  "task_id": "uuid-string",
  "status": "processing",
  "progress": 50,
  "message": null
}

GET /api/result/{task_id}

Retrieve analysis results.

Response:

{
  "task_id": "uuid-string",
  "status": "completed",
  "result": {
    "project_name": "Example Token",
    "executive_summary": "...",
    "key_value_propositions": [...],
    "technology_stack": {...},
    "tokenomics": {...},
    "roadmap": [...],
    "team_and_partnerships": {...},
    "risk_factors": [...],
    "competitive_advantages": [...],
    "target_audience": [...],
    "use_cases": [...],
    "overall_assessment": "..."
  }
}

Features

• Glassmorphism cards
• Smooth animations with Framer Motion
• Responsive design
• Loading states and skeletons
• Error handling

What Makes This Special

For the Hackathon

1. ERNIE Multimodal Capabilities - Showcases ERNIE's advanced understanding of complex documents
2. Novita AI Integration - Uses Novita AI API for ERNIE access (qualifying for sponsored category)
3. Practical Use Case - Solves real problem for crypto investors and analysts
4. Professional Quality - Production-ready code with proper architecture
5. Beautiful UX - Modern, polished interface with attention to detail

Technical Highlights

• Async Processing - Non-blocking analysis with real-time status updates
• Structured Prompts - Engineered prompts for consistent JSON output
• Error Handling - Graceful failures with helpful error messages
• Type Safety - Full TypeScript + Pydantic validation
• Clean Architecture - Separation of concerns, scalable design

Use Cases

• Crypto Investors - Quickly understand new projects
• Financial Analysts - Comprehensive project evaluation
• Due Diligence - Risk assessment and comparison
• Research - Academic analysis of blockchain projects
• Education - Learning about crypto projects

🔧 Development

Running Tests

# Backend
cd backend
pytest

# Frontend
cd frontend
npm test

Building for Production

# Backend
cd backend
uvicorn main:app --host 0.0.0.0 --port 8000

# Frontend
cd frontend
npm run build
npm run preview

🌍 Deployment

The application is currently deployed and live:

• Frontend: Hosted on Vercel with automatic deployments from GitHub
  • URL: https://ernie-fin-sight.vercel.app
• Backend: Hosted on Render with automatic deployments from GitHub
  • API URL: https://ernie-finsight.onrender.com
  • Health check: https://ernie-finsight.onrender.com/api/health

For detailed deployment instructions, see DEPLOYMENT.md

License

MIT License - Built for the Baidu ERNIE AI Developer Challenge

🙏 Acknowledgments

• Baidu - For the amazing ERNIE AI models
• Novita AI - For providing accessible ERNIE API
• DevPost - For hosting the hackathon

👥 Team

Built with ❤️ for the Baidu ERNIE AI Developer Challenge

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Note: This is a hackathon demo project.