AI system discovery and risk mapping for agentic architectures. Generates CycloneDX AIBOMs with topology and risk classification.
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Updated
Jul 5, 2026 - Python
AI system discovery and risk mapping for agentic architectures. Generates CycloneDX AIBOMs with topology and risk classification.
POC de monitoramento agrícola com dados espaciais, ESP32/DHT22, Machine Learning e Streamlit para classificação de risco e recomendações agrícolas.
Claude Code plugin for structured change management — risk classification (P0-P3), multi-domain collaborative analysis, adversarial spec review, implementation verification, and business impact analysis.
A machine learning tool that predicts the risk of loan default using borrower financial data and outputs model probabilities and classifications from logistic regression, XGBoost, and a neural network.
EU AI Assurance OS — governance control plane for EU AI Act release readiness (Next.js 16 + Spring Boot 3.3)
Clean-room project exploring reviewable, testable, accountable human-AI collaboration workflows.
Knowledge-guided sparse Mixture-of-Experts for financial risk classification | 面向财务风险分类的知识引导稀疏专家混合模型
AI system registry and governance tracker with EU AI Act risk classification, impact assessments, and a compliance dashboard — built for legal and compliance teams.
Deterministic EU AI Act classifier with source-backed review rows, obligation links, dossier artifacts, and blocked external actions.
LLM complaint insights: Structured summaries, risk tags, and entity extraction on CFPB consumer complaints — built with OpenAI + LangChain, MLflow, Streamlit.
SQL-Analyse eines Kreditportfolios (32.581 Datensätze) mit Risikoklassifikation in MySQL, Projektarbeit IHK Data Analyst (DataSmart Point, 2026)
Experimental Claude Code skill for solo builders: structured prompts and reference checklists that surface the invisible production layer (security, GDPR, scaling, bus factor) of any build. No warranty; not legal or security advice.
NSCLC Radiomics: Survival Time prediction using CT-extracted features and clinical data.
A human-in-the-loop after-sales triage workspace with deterministic safety guardrails
Guardrail API for detecting personalized mental-health advice with explainable safe/unsafe decisions. Docker-first, FastAPI, Cloud Run-ready, with auth, rate limits, and cost controls.
Injury prediction model using machine learning to analyze factors like workload, player metrics, and environmental conditions. It identifies injury risk patterns early, enabling preventive actions, improved training decisions, and reduced injury occurrence in athletes.
Reference repository outlining protocol-level risk and liability classification concepts; taxonomy reference, not insurance or financial advice.
120-Tool Autonomous AI Command Center - EU AI Act Compliance - Multi-Agent MCP + A2A Protocol - Nexus Control Center
Free EU AI Act compliance checker. Classify your AI system, get risk tier + actionable requirements in under 2 minutes. Static site, no backend, BYOK.
Automated EU AI Act (2024/1689) compliance checker: classify risk, check obligations, generate audit-ready reports and dashboards.
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