1. Virtual Metrology Optimization : Using Python preprocess raw data with statistical methods, and construct Deep Learning & Machine Learning models to minimize cost or improve performance, then using C# develop UI for field engineer operating. 2. Image Detection : Using Raspberry Pi and webcam capture equipment images, and collect data to database through openCV and CNN algorithm. 3. Web Platform : Using Python with Flask framework as backend, and HTML5、CSS & JS as frontend，then deploy with Apache。 4. Because some data came from outside web, so I use crawler to collect data from static and dynamic pages 5. Also try to use edge devices like Raspberry Pi and ESP32 with IOT sensor collecting equipment data, eg: 4~20mA、temperature......, and compile through arduino IDE with coding C++