/NRAM

Primary LanguageTypeScript

NeuraMint

NeuraMint Logo

Transforming Neural Memories into Digital Assets on Solana

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Overview

NeuraMint is a groundbreaking platform that leverages brain-computer interface (BCI) technology and Solana blockchain to transform neural data into unique, verifiable NFTs that can be traded on a decentralized marketplace.

Our platform creates an innovative ecosystem where users can:

  • Capture neural patterns using BCI technology
  • Mint these patterns as unique NFTs on Solana
  • Verify the authenticity and value through a decentralized validation system
  • Trade memory NFTs on a specialized marketplace

Key Features

  • Neural Data Processing: Advanced algorithms convert brain signals into digital assets
  • Memory NFT Minting: Create unique tokens representing neural patterns
  • Decentralized Validation: Community-driven verification system ensures authenticity
  • Memory Marketplace: Buy, sell, and collect unique memory NFTs
  • Validator Dashboard: Track validation performance, history, and rewards
  • Multi-tier Memory Classification: Organize memories by type and quality
  • Analytics: View market trends and memory performance metrics
  • Monitoring: Comprehensive system monitoring for platform reliability

Platform Architecture

NeuraMint follows a modular architecture that integrates frontend components with Solana blockchain smart contracts:

flowchart TD
    subgraph "Client Applications"
        WebApp["Web App\n(Next.js)"]
        MobileApp["Mobile App\n(React Native)"]
        Desktop["Desktop\n(Electron)"]
    end

    subgraph "API Layer"
        APIGateway["API Gateway"]
    end

    subgraph "Backend Services"
        UserAuth["User & Auth\nService"]
        MemoryService["Memory\nService"]
        ValidationService["Validation\nService"]
        MarketplaceService["Marketplace\nService"]
        NeuralData["Neural Data\nProcessing"]
        Analytics["Analytics\nService"]
        Metrics["Metrics\nService"]
        Monitoring["Monitoring\nService"]
    end

    subgraph "Blockchain Layer"
        BlockchainSDK["Blockchain SDK"]
    end

    subgraph "Solana Blockchain"
        MemoryNFT["Memory NFT\nProgram"]
        ValidatorProgram["Validator\nProgram"]
        MarketplaceProgram["Marketplace\nProgram"]
        NRAMToken["NRAM Token\nProgram"]
    end

    WebApp --> APIGateway
    MobileApp --> APIGateway
    Desktop --> APIGateway
    WebApp --> BlockchainSDK
    MobileApp --> BlockchainSDK
    Desktop --> BlockchainSDK

    APIGateway --> UserAuth
    APIGateway --> MemoryService
    APIGateway --> ValidationService
    APIGateway --> MarketplaceService
    APIGateway --> NeuralData
    APIGateway --> Analytics
    UserAuth --> BlockchainSDK
    MemoryService --> BlockchainSDK
    ValidationService --> BlockchainSDK
    MarketplaceService --> BlockchainSDK
    Analytics --> BlockchainSDK

    BlockchainSDK --> MemoryNFT
    BlockchainSDK --> ValidatorProgram
    BlockchainSDK --> MarketplaceProgram
    BlockchainSDK --> NRAMToken

    Monitoring --> UserAuth
    Monitoring --> MemoryService
    Monitoring --> ValidationService
    Monitoring --> MarketplaceService
    Monitoring --> NeuralData
    Monitoring --> Analytics
    Monitoring --> Metrics
    Monitoring --> BlockchainSDK

    classDef client fill:#d2f5ff,stroke:#0099cc,stroke-width:2px;
    classDef api fill:#ffe6cc,stroke:#d79b00,stroke-width:2px;
    classDef service fill:#d5e8d4,stroke:#82b366,stroke-width:2px;
    classDef blockchain fill:#fff2cc,stroke:#d6b656,stroke-width:2px;
    classDef solana fill:#e1d5e7,stroke:#9673a6,stroke-width:2px;

    class WebApp,MobileApp,Desktop client;
    class APIGateway api;
    class UserAuth,MemoryService,ValidationService,MarketplaceService,NeuralData,Analytics,Metrics,Monitoring service;
    class BlockchainSDK blockchain;
    class MemoryNFT,ValidatorProgram,MarketplaceProgram,NRAMToken solana;
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Additionally, here's how our monitoring stack integrates with the platform:

flowchart LR
    subgraph "NeuraMint Application"
        App["Next.js App"]
        Middleware["Metrics Middleware"]
        MetricsAPI["Metrics API"]
    end

    subgraph "Monitoring Stack"
        Prometheus["Prometheus"]
        AlertManager["AlertManager"]
        Grafana["Grafana"]
        Loki["Loki"]
        Promtail["Promtail"]
        NodeExporter["Node Exporter"]
        cAdvisor["cAdvisor"]
        SolanaExporter["Solana Exporter"]
    end

    subgraph "Notification Channels"
        Email["Email Alerts"]
        Slack["Slack Notifications"]
    end

    App -->|"Generates metrics"| Middleware
    Middleware -->|"Records metrics"| MetricsAPI
    MetricsAPI -->|"Exposes metrics\nendpoint"| Prometheus
    
    Prometheus -->|"Scrapes metrics"| NodeExporter
    Prometheus -->|"Scrapes metrics"| cAdvisor
    Prometheus -->|"Scrapes metrics"| SolanaExporter
    Prometheus -->|"Scrapes metrics"| Loki
    Prometheus -->|"Sends alerts"| AlertManager
    
    Loki -->|"Receives logs"| Promtail
    Promtail -->|"Collects logs"| App

    AlertManager -->|"Sends notifications"| Email
    AlertManager -->|"Sends notifications"| Slack
    
    Grafana -->|"Queries metrics"| Prometheus
    Grafana -->|"Queries logs"| Loki
    
    classDef app fill:#d2f5ff,stroke:#0099cc,stroke-width:2px;
    classDef monitoring fill:#d5e8d4,stroke:#82b366,stroke-width:2px;
    classDef notification fill:#ffe6cc,stroke:#d79b00,stroke-width:2px;
    
    class App,Middleware,MetricsAPI app;
    class Prometheus,AlertManager,Grafana,Loki,Promtail,NodeExporter,cAdvisor,SolanaExporter monitoring;
    class Email,Slack notification;
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Memory Types and Classification

NeuraMint supports six fundamental memory types, each with distinct characteristics and values:

  1. Visual: Memories related to visual perception and imagery
  2. Conceptual: Memories of abstract concepts and ideas
  3. Emotional: Memories of feelings and emotional experiences
  4. Procedural: Memories related to skills and procedures
  5. Episodic: Memories of specific events and experiences
  6. Spatial: Memories related to spatial awareness and navigation

Each memory NFT is classified into quality tiers based on neural data complexity and rarity:

  • Common (50%): Basic neural patterns with standard features
  • Fine (30%): Complex neural patterns with distinctive attributes
  • Excellent (15%): Highly sophisticated patterns with unique characteristics
  • Legendary (5%): Exceptionally rare patterns with extraordinary complexity

Technical Stack

NeuraMint is built using the following technologies:

Frontend

  • Next.js: React framework for building the user interface
  • TypeScript: Type-safe language for better developer experience
  • Tailwind CSS: Utility-first CSS framework for rapid UI development
  • Framer Motion: Animation library for smooth UI transitions
  • Recharts: Composable charting library for data visualization

Blockchain Integration

  • Solana Web3.js: SDK for interacting with Solana blockchain
  • Anchor Framework: Framework for developing Solana programs
  • SPL Token Standard: Solana token standard for NFTs
  • Wallet Adapter: Solana wallet connection libraries

Backend

  • Next.js API Routes: Serverless API endpoints
  • Solana Programs: Smart contracts for memory NFTs and validation
  • IPFS/Arweave: Decentralized storage for memory metadata
  • TensorFlow.js: Neural network libraries for BCI data processing

Monitoring and Metrics

  • Prometheus: Metrics collection and alerting
  • Grafana: Data visualization and dashboards
  • Loki: Log aggregation and exploration
  • AlertManager: Alert handling and notification
  • Node Exporter: Hardware and OS metrics collection
  • cAdvisor: Container metrics collection
  • Solana Exporter: Blockchain metrics collection

Getting Started

Prerequisites

  • Node.js (v16+)
  • NPM or Yarn
  • Solana CLI tools (for blockchain development)
  • A Solana wallet (Phantom, Solflare, etc.)
  • Docker and Docker Compose (for monitoring stack)

Installation

  1. Clone the repository:

    git clone https://github.com/NeuraMint/NRAM.git
    cd NeuraMint
  2. Install dependencies:

    npm install
    # or
    yarn install
  3. Set up environment variables:

    cp .env.example .env.local

    Edit .env.local with your configuration settings.

  4. Run the development server:

    npm run dev
    # or
    yarn dev
  5. Open http://localhost:3000 in your browser.

Setting Up Monitoring

  1. Navigate to the monitoring directory:

    cd monitoring
  2. Start the monitoring stack:

    docker-compose up -d
  3. Access Grafana at http://localhost:3000 with default credentials (admin/neuramint_admin).

Project Structure

NeuraMint/
├── app/                    # Next.js application
│   ├── components/         # Reusable UI components
│   │   ├── analytics/      # Analytics components
│   │   ├── common/         # Common UI components
│   │   ├── layout/         # Layout components
│   │   ├── marketplace/    # Marketplace components
│   │   └── social/         # Social features components
│   ├── config/             # Configuration files
│   ├── hooks/              # Custom React hooks
│   ├── middleware/         # Next.js middleware
│   ├── pages/              # Application pages and API routes
│   │   ├── api/            # API endpoints
│   │   │   ├── analytics/  # Analytics API endpoints
│   │   │   ├── market/     # Market API endpoints
│   │   │   └── memories/   # Memories API endpoints
│   │   └── memory/         # Memory detail pages
│   ├── public/             # Static assets
│   ├── services/           # API services
│   ├── types/              # TypeScript type definitions
│   └── utils/              # Utility functions
├── contracts/              # Solana smart contracts
│   └── tests/              # Contract tests
├── docs/                   # Documentation
│   ├── api/                # API documentation
│   ├── architecture/       # Architecture documentation
│   ├── blockchain/         # Blockchain integration docs
│   ├── deployment/         # Deployment guides
│   ├── development/        # Development guidelines
│   ├── security/           # Security documentation
│   └── user/               # User guides
├── monitoring/             # Monitoring infrastructure
│   ├── alertmanager/       # AlertManager configuration
│   ├── grafana/            # Grafana dashboards and config
│   ├── loki/               # Loki configuration
│   ├── prometheus/         # Prometheus configuration
│   │   └── rules/          # Alert rules
│   ├── promtail/           # Promtail configuration
│   └── solana-exporter/    # Solana metrics exporter
├── .env.example            # Example environment variables
├── package.json            # Project dependencies
└── README.md               # Project documentation

Documentation

Comprehensive documentation is available in the docs/ directory:

Monitoring System

NeuraMint includes a comprehensive monitoring stack for tracking system performance:

  • Real-time Metrics: Track API performance, memory operations, and blockchain interactions
  • Custom Dashboards: Visualize platform activity and performance metrics
  • Automated Alerts: Receive notifications for critical system events
  • Log Aggregation: Centralized logging for troubleshooting
  • Blockchain Monitoring: Track Solana network performance and contract interactions

Contributing

We welcome contributions from the community! Please follow these steps:

  1. Fork the repository
  2. Create a feature branch: git checkout -b feature/your-feature-name
  3. Commit your changes: git commit -m 'Add some feature'
  4. Push to the branch: git push origin feature/your-feature-name
  5. Open a pull request

Please read our Contributing Guidelines for more details.

License

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

Contact

Acknowledgements

  • The Solana community for providing tools and support
  • BCI device manufacturers for advancing neural interface technology
  • All contributors who have helped build the NeuraMint platform