Nobel.AI - AI That Knows What to Forget

A modular MVP platform for responsible AI through influence tracing, surgical unlearning, and cryptographic auditing.

🚀 Features

Frontend (React + TailwindCSS)

• Influence Tracing: Track AI outputs to their training data sources
• Surgical Unlearning: Selectively remove problematic knowledge patterns
• Audit & Compliance: Cryptographic proof of all operations with immutable logs
• Futuristic UI: Neon yellow + blue/black theme with glassmorphism effects

Backend (Python Placeholders)

• API Scaffolding: Flask application with RESTful endpoints
• Modular Architecture: Separate modules for tracing, unlearning, and auditing
• Ready for Integration: Complete placeholder functions for real ML models

🎨 Design Philosophy

Minimalistic Neon Theme

• Primary: Neon Yellow (#FBBF24)
• Accent: Electric Blue (#3B82F6)
• Background: Deep space gradient (#0f172a → #020617)
• Typography: Space Grotesk font family
• Effects: Glassmorphism cards with glowing borders

📂 Project Structure

nobel-ai/
├── frontend/ (React App)
│   ├── src/
│   │   ├── components/     # Reusable UI components
│   │   ├── pages/          # Main application pages
│   │   ├── utils/          # Mock data & API placeholders
│   │   └── styles/         # Custom theme CSS
│   └── package.json
│
├── backend/ (Python Placeholders)
│   ├── api/
│   │   ├── tracing.py      # Influence tracing logic
│   │   ├── unlearning.py   # Surgical forgetting algorithms  
│   │   └── audit.py        # Cryptographic audit trail
│   ├── app.py              # Flask application
│   └── requirements.txt
│
└── README.md

🛠️ Quick Start

Frontend Development

# Install dependencies
npm install

# Start development server
npm run dev

Backend Setup (Future)

# Create virtual environment
python -m venv venv
source venv/bin/activate  # Windows: venv\Scripts\activate

# Install dependencies
pip install -r backend/requirements.txt

# Start Flask server
cd backend && python app.py

🔧 Core Components

1. Dashboard (/)

• Hero section with gradient text effects
• Three main module cards with neon glows
• Real-time statistics with dummy data
• Responsive grid layout

2. Influence Tracing (/tracing)

• Text input with bias/hallucination detection
• Real-time highlighting of flagged content
• Source dataset identification
• Confidence scoring with recommendations

3. Surgical Unlearning (/unlearning)

• Dataset selection interface
• Animated "Forget Button" with processing states
• Progress tracking with futuristic loaders
• Success confirmation with affected file lists

4. Audit & Compliance (/audit)

• Cryptographic log table with search/filter
• Compliance status dashboard
• Certificate generation and download
• Export functionality for reports

5. Settings (/settings)

• Theme customization (dark/light mode)
• API key configuration (placeholder)
• Data management options
• About information

📊 Demo Features

Tracing Demo

Input: "Women are typically worse at math"
Output: 
- Flags bias keywords
- Shows source dataset: "social_bias_dataset_v2.csv"  
- Confidence: 87%
- Recommendations: Remove biased patterns, add fairness disclaimer

Unlearning Demo

Action: Click "Forget" button
Result:
- Animated processing with neon effects
- Success message with processing time
- List of affected dataset files
- Cryptographic verification hash

Audit Demo

Features:
- Real-time log table with timestamps
- Status indicators (Verified/Pending/Failed)
- Cryptographic hash verification
- Compliance certificate download

🔮 Future Integration

Backend API Endpoints

• POST /api/trace - Influence tracing
• POST /api/unlearn - Surgical unlearning
• GET /api/audit - Audit log retrieval
• GET /api/compliance - Compliance reporting

ML Model Integration

Replace placeholder functions with:

• Real neural influence tracing algorithms
• Actual unlearning/forgetting models
• Production cryptographic verification
• Database persistence layer

🎯 Hackathon Demo Script

1. Landing Page: Show futuristic design + key metrics
2. Tracing: Enter biased text → see real-time flagging
3. Unlearning: Click forget button → watch animation
4. Audit: Browse cryptographic logs → download certificate
5. Architecture: Explain modular design for easy API integration

🛡️ Security & Compliance

• Cryptographic hash verification for all operations
• Immutable audit trail with chain integrity checking
• GDPR/CCPA compliance reporting capabilities
• Secure API key management (placeholder)

📱 Responsive Design

• Mobile-first approach with Tailwind breakpoints
• Touch-friendly interface elements
• Optimized typography scaling
• Flexible grid layouts for all screen sizes

🔬 Technology Stack

Frontend:

• React 18 + TypeScript
• TailwindCSS for styling
• Framer Motion for animations
• React Router for navigation
• Lucide React for icons

Backend (Placeholder):

• Flask/FastAPI Python framework
• SQLAlchemy for database modeling
• Cryptography libraries for hashing
• NumPy/Pandas for data processing

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Nobel.AI - Making AI systems accountable through transparency, selective forgetting, and cryptographic proof. Built for the future of responsible AI development.