Key Components of POG-E tech stack

1. Data Infrastructure

• Data Ingestion and ETL Pipelines

  • Event Streaming: Apache Kafka, AWS Kinesis, low-latency streaming of in-game telemetry and community activity.

  • ETL Frameworks: Apache Nifi for orchestrating data workflows.

  • API Gateways: REST APIs for structured data extraction from game engines, blockchain explorers, and community platforms.

• Data Storage

  • Relational Databases: Amazon Aurora for structured data storage.

  • NoSQL Databases: DynamoDB for unstructured community insights.

  • Distributed Data Lakes: Delta Lake on Apache Hudi for scalable batch and streaming workloads.

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2. AI/ML Model Development

• LLM Frameworks

  • Hugging Face Transformers or OpenAI API for foundational LLM architecture.

  • PyTorch or TensorFlow for model customization and experimentation.

• Fine-Tuning and Customization

  • Low-Rank Adaptation (LoRA) or parameter-efficient fine-tuning for LLM adaptation.

  • Domain-Specific Reinforcement Learning: Stable-Baselines3 for RL optimization in gaming scenarios.

• Multimodal Integration

  • DeepMind Perceiver IO or OpenAI CLIP for integrating textual, visual, and telemetry data.

• Knowledge Graphs

  • Neo4j, Amazon Neptune, or DGraph for managing Proof of Gamer (POG) data and context-aware relationships.

• Model Deployment

  • NVIDIA Triton Inference Server or ONNX Runtime for scalable, low-latency inference pipelines.

  • MLFlow for model versioning and deployment lifecycle management.

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3. Web3 and Blockchain Integration

• Blockchain Access

  • Chainstack, DRPC and Alchemy for on-chain data querying.

• Smart Contract Interaction

  • ethers.js or web3.js for tokenized gaming economies and POG score validations.

• Wallet Integrations

  • SSO based KGeN multichain wallet APIs and compatibility with WalletConnect for seamless user onboarding and transactions.

• Analytics and On-Chain Intelligence

  • Dune Analytics for query-driven blockchain data insights.

  • Proprietary KGeN ETLs

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4. Backend Services

• Orchestration

  • Kubernetes (K8s) for containerized microservice orchestration.

• Service Communication

  • gRPC for high-performance service-to-service communication.

• Real-time Processing

  • Apache Flink for low-latency analytics.

• API Layer

  • FastAPI for REST API endpoints with async support.

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5. Frontend Interfaces

• Web Applications

  • React.js or Next.js for responsive, real-time dashboards.

  • D3.js for interactive data visualizations.

• Game Engine SDKs

  • Custom C++/C# SDKs for Unity and Unreal Engine integration.

• Mobile Frameworks

  • React Native or Flutter for cross-platform mobile companion apps.

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6. DevOps and MLOps

• CI/CD Pipelines

  • GitHub Actions or GitLab CI/CD for automated build, test, and deploy workflows.

• Infrastructure as Code (IaC)

  • Terraform or AWS CloudFormation for reproducible infrastructure deployment.

• Containerization

  • Docker for packaging services with dependencies.

• Monitoring and Observability

  • Prometheus and Grafana for real-time system metrics.

  • OpenTelemetry for tracing distributed services.

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7. Security and Compliance

• Data Encryption

  • TLS 1.3 for data in transit and AES-256 for data at rest.

• Blockchain Security

  • Tools like MythX and Slither for smart contract audits.

• Authentication and Authorization

  • OAuth 2.0 and OpenID Connect for API security.

  • Role-Based Access Control (RBAC) in Kubernetes.

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8. Advanced Features

• Proof of Gamer (POG) Engine

  • Custom algorithms for computing the POG score based on velocity metrics and engagement analytics.

  • Integration with K-GeN (Knowledge Generation Engine) for dynamic data updates.

• Edge Computing

  • Deployment on edge platforms (e.g., AWS Wavelength, Cloudflare Workers) for latency-critical scenarios.