AI-Driven PCB Design Automation Platform

Abstract

The design of printed circuit board (PCB) is a time consuming and challenging process that involves multiple steps of varying complexity. When performed manually, from specification to layout and verifications, these steps take a long time and are more prone to error, especially for inexperienced designers. The rising complexity of model PCB requires the easy design automation freameworks which is understandable to beginners and inexperienced person. High-level tools to optimize engineering design effort, cost and time, In this work, we introduced concept of “text-to-PCB” generation, where natural language descriptions are converted directly into functional PCB layouts and 3D visualizations. Generating the circuit schematic automatically also optimize component placement, routing heat management, power use. It produce ready to use gerber files for manufacturing. A learning module that update its knowledge base, and algorithm that chooses the design, components and layouts. This research improves AI-driven PCB design, enabling more complex and and effective electrical system. AI in PCB design will revolutionize the industry by solving complicated design problems, overcome the errors and speeding up the development of cutting-edge electronics.