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human-ai-interaction

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neuroweaver

The IDAS framework with its KSODI method and the belonging SIRA-protocol measures human-AI interactions. It aims to systematically prove and improve its quality based on a unique metric and may enable people to think deeper. It follows an ethical, Governance-ready idea while targeting to keep maximum privacy.

  • Updated Oct 15, 2025

A complete machine-learning system that predicts AI assistant user satisfaction using behavioral signals such as device, usage category, time features, session metrics, and model metadata. Includes full ML pipeline, SHAP explainability, evaluation suite, and an interactive Streamlit analytics dashboard.

  • Updated Dec 5, 2025
  • Python

Conceptual proposal for a distributed AI personality system where each device hosts a unique avatar and shares semantic memory. Inspired by the vision of a collaborative, growing AI companion.

  • Updated Jun 4, 2025

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