Core Components
Seven interconnected AI systems creating a holistic care ecosystem.
LUKi's capabilities are powered by seven sophisticated AI components that work in harmony to deliver unprecedented personalized care experiences.
1. AI for ELR® Personal Data Management
The Foundation of Everything
This system is LUKi’s backbone. It ingests and analyzes Electronic Life Records (ELR®) using advanced NLP and machine learning to build a deep, nuanced understanding of each user’s life story, preferences, routines, and activities.
Key Technologies
hybrid open-source large language models for generation & reasoning
NLP parsing (spaCy / Hugging Face Transformers)
Vector embeddings (Sentence-Transformers) + ChromaDB/FAISS for long-term memory
Semantic analysis & lightweight knowledge graphs
Federated learning (roadmap) – planned future deployment for privacy-preserving updates.
2. Personal AI Agents & Virtual Companions
Your Intelligent Care Partner
LUKi functions as an AI-powered personal assistant and companion, using context-aware dialogue and emotional sensitivity to reduce loneliness and offer proactive, personalized support.
Key Technologies
Conversational AI via custom agent orchestration on top of open-source large language models.
Sentiment & affect inference models (open-source emotion/sentiment classifiers; Affectiva optional later)
Multimodal interaction (roadmap/Phase 3)
3. AI for Cognitive Stimulation & Wellbeing
Personalized Mental Fitness
This component generates tailored activities and therapies. LUKi recommends games, media, and exercises aligned with each user’s cognitive profile and interests to promote mental acuity and wellbeing.
Key Technologies
Deep-learning & content-based recommendation systems
Adaptive learning loops using user feedback
Cognitive assessment integrations (e.g., Cognetivity) where appropriate
4. REMEComm Community Engagement
Breaking Down Isolation
REMEComm uses AI to strengthen community bonds. It matches members to events, groups, and peers based on interests and location, fostering meaningful social interaction.
Key Technologies
Social graph / network analysis (Neo4j, NetworkX)
Interest-based matching algorithms
Community recommendation engine
5. Automated Reporting
Clear Insights for Families
LUKi auto-generates readable reports for caregivers and family. Using NLG, it converts complex ELR data into concise summaries of wellbeing, activities, and cognitive trends.
Key Technologies
Natural Language Generation
Data visualization (Plotly/Matplotlib)
Trend & anomaly analysis (pandas, scikit-learn)
6. Enhanced Data Security
Privacy by Design
Security is paramount in everything LUKi does. The system integrates AI-driven security measures, including anomaly detection to identify potential threats without compromising individual data privacy.
Key Technologies
AES-256 encryption at rest, TLS in transit
Anomaly/threat detection (unsupervised ML)
Zero-Knowledge Proofs (future/roadmap)
Comprehensive consent & GDPR alignment
Federated learning (future roadmap) with secure aggregation & differential privacy.
7. On-Chain Data Management & Monetization
Blockchain-Powered Value Creation
This component is designed to use smart contracts on the ReMeGrid to run the Care to Earn economy (CAPs → REME) and to govern opt‑in data sharing. Members retain ownership of their ELR® data, and as the on‑chain layer matures, aggregated insights they choose to license will be rewarded transparently on chain.
Key Technologies
Smart contracts (ReMeGrid / POA chain) for rewards & permissions
Blockchain integration APIs for CAP→REME conversion and RUBI flows
Privacy‑preserving data pipelines (differential privacy)
AI-driven market & usage analytics to optimise token incentives (optional/phase 2+)
Consent & access registries on-chain for auditable data usage
Seven components • Infinite possibilities • One mission: Better care
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