engineering-ai

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.

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。

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

Synthetic hydraulic digital-twin demo for sensor validation, energy modelling, anomaly detection, fault-state classification and automated reporting.

AI-driven predictive maintenance system with Bayesian risk, optimization, ESG impact, and human-in-the-loop decision intelligence.

Benchmark framework for evaluating AI-generated responses on Electrical Engineering tasks using technical accuracy, similarity analysis, and hallucination detection.

Applied AI for engineering: predictive maintenance, computer vision, SHM, HVAC optimization, and edge/cloud deployment.

Nüwa (女娲): Self-evolving AI Agent Prompt Architect (自进化的AI智能体提示词架构师). Copy & Paste (复制即用). Generate custom agent prompts via XML (生成定制化提示词). Optimized for mainstream LLMs (适配主流大模型). Build your AI team (打造专属AI团队).

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.

Long-running multi-agent CAD engineering workflow for refrigeration equipment design, sheet metal analysis, and manufacturing review.

用 AI 做机械设计的失败案例｜AI for Mechanical Design — an open-source failure case. 大模型（LLM）驱动的机械设计、CAD/CAE 与工程自动化实验；公开源码、架构和失败记录，供复盘借鉴，非成熟产品。

Research prototype exploring functional engineering context for CAD-to-drawing intelligence using B-Rep geometry, assembly relationships, and machine learning.

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.

Proof of Concept for Aerospace Structural Design using Synthetic Data with L&T