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.

建筑机电CAD语义解析与可追溯自动化框架：确定性几何、受约束AI、专业规则与工程证据。

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.

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

CFD-trained MeshGraphNet engineering portfolio for offline 3D heat-sink temperature-field prediction.