AI-Assisted 8-Bit Processor Design Using Digital Logic Components for Educational Applications

Digital logic is essential to understanding processor design, but students may find it difficult to connect individual logic gates and circuits into a functional processor. This study proposes an AI-Assisted 8-Bit Processor Design Using Digital Logic Components for Educational Applications. The system combines an 8-bit processor architecture with AI-assisted analysis to support circuit verification, detect output discrepancies, identify possible logic errors, and provide feedback to learners. The processor includes an ALU, registers, accumulator, program counter, instruction register, control unit, memory, and data bus. The study uses a design-and-validation approach focusing on processor operations, digital logic verification, Boolean equivalence, and error-pattern detection. The proposed system aims to help students connect theoretical digital logic concepts with practical processor design while using AI as a supportive tool for troubleshooting and learning. Keywords: artificial intelligence, 8-bit processor, digital logic, Boolean equivalence, circuit verification, educational technology.