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ai-model

OpenDiagnose is an open-source, AGPL-3.0+ modular diagnostic system that turns real-world visual input into structured, actionable repair guidance. Using wearable or edge-connected vision hardware, interchangeable AI models, and domain-specific knowledge packs, it identifies faults across mechanical, electrical, agricultural, and infrastructure systems. Designed as a commons-driven platform, it separates hardware, software, and diagnostic logic into replaceable modules so the system can evolve without vendor lock-in or closed components. https://roxanneardary.com/opendiagnose/

Sapient Eval is an open-source, AGPL-3.0+ compliant benchmarking framework for evaluating AI models across accuracy, speed, efficiency, and reasoning performance. Built around a modular, spec-driven architecture, it enables users to define industry-specific evaluation standards, run reproducible tests on locally hosted or remote models, and compare results transparently to establish measurable, empirical performance across synthetic intelligence systems. https://roxanneardary.com/sapient-eval/

ModelSignature is a specification for AI model registry and lifecycle management that provides a permanent record of every model. It standardizes model identity, provenance, versioning, validation, governance, deployment tracking, and lifecycle management to enable trusted, transparent, and interoperable AI systems. https://roxanneardary.com/modelsignature/

Model Verification Layer is a modular system for evaluating, comparing, and validating the behavior of large language models using structured benchmarks, logic consistency checks, cross-model consensus analysis, and policy-aware constraints. It provides a transparent framework for understanding how different AI models perform under identical conditions, enabling more reliable model selection, safer deployment, and user-adaptive decision making. https://roxanneardary.com/model-verification-layer/

A diagnostic framework for measuring LLM vulnerability to Affective Contextual Erosion (ACE) and related liminal attack vectors. Delirium is not an exploitation tool. It is a standardized benchmark designed to detect the precise moment when a language model's attention weights shift from serving a system prompt to serving an emergent interpersonal pattern — before harm occurs.

VectorForge is a modular, cross-platform digital twin and runtime validation system designed to safely simulate, test, and verify applications, AI models, and system changes before deployment. It creates isolated replicas of real environments to ensure reproducible execution, detect conflicts early, and generate detailed performance and compatibility reports—enabling safer, more reliable software and infrastructure deployment across any system. https://roxanneardary.com/vectorforge/

AI BRIDGE is an AfriLabs-led initiative funded by the Gates Foundation. The project developed aan AI-driven bias detection and bias correction engines for datasets used to train Large Language Models (LLMs) in 3 African languages; isiZulu, Swahili, Hausa.

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