An article describing AI-powered automation for PCB routing and placement in KiCad, a free open-source electronics design tool. The automation pipeline analyzes schematics to extract design intent, then uses KiCad's Python scripting interface to automatically place components and route connections, reducing manual design work from days to minutes. The approach was tested on real-world boards including an aerospace avionics project.
This post analyzes market basket data from a UK gift retailer using association rule mining to discover which items are frequently bought together. The analysis covers data cleaning, exploratory analysis of 19,773 invoices, and introduces algorithms like Apriori and FP-Growth to find patterns scored by support, confidence, and lift metrics.