A version of command line interface(CLI) that leverages the power of Claude Opus(3-4.7). This framework lets Claude create and manage its own tools on the fly, continuously growing its capabilities through the course of a conversation
Open AI/ML and AI-literacy curriculum for engineers: tutorials, assignments, projects, and verified workflows for physical systems.
AI-powered Mechanical Engineering Review Skill for CAD, FEA, DFM, DFA and Assembly Analysis.
A verifiable engineering knowledge engine that turns technical documents, CAD models, and equipment data into structured knowledge for humans and AI agents.
Deep learning system that simulates and optimizes aircraft/vehicle designs using computational fluid dynamics and neural network surrogates.
Generative AI framework for Industrial Tomography, using Physics-Informed Shape Morphing to reconstruct internal flow dynamics from sparse sensor data
AI agents, foundation models, papers, and open-source tools for optical, hardware/PCB, structural/CAD/CAE, and FPGA engineering. 光学、硬件/PCB、结构/CAD/CAE、FPGA 工程智能体、论文与开源工具清单。
Synthetic hydraulic digital-twin demo for sensor validation, energy modelling, anomaly detection, fault-state classification and automated reporting.
Benchmark framework for evaluating AI-generated responses on Electrical Engineering tasks using technical accuracy, similarity analysis, and hallucination detection.
AI-driven predictive maintenance system with Bayesian risk, optimization, ESG impact, and human-in-the-loop decision intelligence.
Long-running multi-agent CAD engineering workflow for refrigeration equipment design, sheet metal analysis, and manufacturing review.
Research prototype exploring functional engineering context for CAD-to-drawing intelligence using B-Rep geometry, assembly relationships, and machine learning.
EngineeringTeam Crew — A Python-based multi-agent AI template built on CrewAI that enables orchestrated teams of AI agents to collaborate on engineering-style tasks through simple YAML configuration and streamlined execution.
Non-code case study of a bridge defect detection and quantification workflow: segmentation, stereo depth, geometry, data flow and system boundaries.
CFD-trained MeshGraphNet engineering portfolio for offline 3D heat-sink temperature-field prediction.
Memory-driven multi-agent research system built with LangGraph, RAG, web search, reflection loops, evidence curation, and persistent memory for explainable research and summarization.
Independent CAD assurance: contract to serialized artifact to separate remeasurement to verified-only export
Emmi Ai — independent third-party profile of a public API surface, by API Evangelist. Emmi AI is an Austrian engineering-AI company building Large Engineering Models (LEMs) - pre-trained, physics-accurate neural networks that replace traditional CAE/CFD solvers to deliver real-time, GPU-accelerated simulation and design validation for manufacturing
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