VeriMind introduces an agentic Large Language Model approach to automate and optimize Verilog code generation for digital circuit design.

• Transforms manual hardware description into an AI-assisted process
• Leverages structured text generation capabilities of modern LLMs
• Introduces a novel evaluation metric to measure generated Verilog quality
• Reduces development time while maintaining correctness and efficiency

This innovation significantly impacts electronic engineering by allowing hardware designers to focus on high-level architecture while automating the tedious, error-prone aspects of writing Verilog code—potentially accelerating development cycles for digital systems.

VeriMind: Agentic LLM for Automated Verilog Generation with a Novel Evaluation Metric