engineering-ai

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

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.

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.

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.

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

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