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RuffieAI Technology Stack

AI & Machine Learning

RuffieAI’s core health engine is built on TensorFlow and PyTorch, enabling real-time analysis of video, image, and audio inputs. These models power critical functions such as behavior recognition, anomaly detection, and symptom tracking—optimized for edge-device inference and mobile responsiveness.

Natural Language Processing (NLP)

We integrate state-of-the-art Hugging Face models for conversational AI. These power the user-facing assistant, enabling intuitive triage, behavioral advice, and feedback loops. Models are fine-tuned using labeled user inputs from shelter records, diaries, and vet conversations.

Blockchain

RuffieAI supports a multi-chain architecture across Solana, Ethereum, Polygon, and BNB Chain. This ensures low fees, scalability, and global wallet compatibility.

  • NFT Minting: Pet IDs and adoption certificates are issued on-chain with customizable metadata.

  • Smart Contract Bridges: Synchronize health records and user permissions across supported chains. This cross-chain flexibility enables decentralized identity, data portability, and broader institutional integration.

Decentralised Storage

Pet medical records and behavioral data are stored via IPFS with a hybrid off-chain/on-chain model. This ensures verifiability, redundancy, and compliance with emerging privacy regulations (e.g., GDPR, APAC data sovereignty laws).

Smart Contract Integration

All ecosystem components—NFTs, data access, rewards—are governed by audited, modular smart contracts.

  • Features include:

    • Breeder and shelter verification

    • Dynamic access rights to health data

    • Reward eligibility and on-chain behavior validation

Contracts are EVM-compatible and deployable across chains for maximum interoperability.


RUFFIEAI SOFTWARE SECURITY AND INJECTION

RuffieAI uses AI-powered intrusion detection, permission-based access layers, and routine smart contract audits. AI models are retrained through federated learning using anonymized, labeled community data, continuously improving prediction accuracy while preserving user privacy.

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