AI-powered contract review skill with CUAD risk detection, market benchmarks, and lawyer-ready redlines. Works with Claude Code, Codex, Cursor, and 26+ tools.

A systems-thinking essay that explains why failure rarely happens suddenly. It shows how slow drift, accumulating pressure, and weakening buffers push systems toward collapse long before outcomes change, and why prediction-focused analytics miss the most important phase of failure.

Self-evolving minor-user identification agent for anthropomorphic AI interaction, with trigger evaluation, evidence chains, and deployable protection workflows.

A systems-thinking essay that reframes failure as a gradual transition rather than a discrete outcome. It explains how pressure accumulation, weakening buffers, and hidden instability precede visible collapse, and why prediction-based models arrive too late to prevent failure in human-centered systems.

An interpretable battery health engine that detects hidden points of no return instead of just predicting health %. It models stress, buffer, and degradation intensity, discovers Stable/Drifting/Irreversible regimes via GMM, and learns simple Decision Tree thresholds, with a Streamlit app for diagnostics and what-if scenarios.

AML Checker detection and analysis tools for cryptocurrency transactions using machine learning and blockchain data. Ensuring compliance and reducing money laundering risks.

Crypto AML Vendor Evaluation Checklist & Implementation Guide（Crypto AML 供应商评估 Checklist 与执行指南）

Real-time intent decoding and risk engine for Ethereum wallet interactions powering ENSight’s safety layer.

AI-powered contract analysis tool that extracts clauses, highlights risky terms, summarizes documents, and answers questions using NLP. Built with Streamlit + Python.

A machine learning classification approach for risk detection in battery cell manufacturing

AI-powered legal contract analysis — risk detection, executive summaries, and RAG-powered chat using fine-tuned Legal-BERT + LoRA

Real-time Ethereum wallet interceptor that explains transaction intent, surfaces risk, and adds inline context in the browser.

CONTEXTIQ : AN ADVANCED FRAMEWORK FOR CONTEXTUAL ANALYSIS AND RISK DETECTION

MindfulMe is a privacy-preserving mental health assessment system that performs sentiment analysis, suicide risk detection, and PHQ-9/GAD-7 scoring entirely on the user’s machine. It uses a hybrid pipeline with Hugging Face transformers + TF-IDF Logistic Regression for risk detection.

Enterprise UI for OmniGuard multimodal risk analysis.

Enterprise-grade AI-powered document processing and compliance monitoring system with real-time risk detection, knowledge graph analytics, and intelligent alerting for legal, financial, and regulatory document analysis.

⚖️ AI-powered legal contract risk analyzer. Upload any contract or NDA → AI flags dangerous clauses, missing protections & one-sided terms with plain-English explanations & negotiation advice.

Network Sentinel is a modular, protocol-aware port scanner designed for architects, SOC teams, and security engineers. It scans TCP ports across defined targets, flags known vulnerabilities via CVE-style mapping, and visualizes results through a Flask dashboard.