The increasing complexity of modern engineering design processes has created a strong demand for intelligent, automated, and integrated Computer-Aided Design (CAD) frameworks capable of bridging the gap between conceptual modeling and rapid prototyping. Traditional CAD workflows remain largely manual, iterative, and time-consuming, particularly in design optimization and manufacturability validation stages. This research proposes an intelligent CAD-based framework that integrates automation, rule-based optimization, and digital prototyping pipelines to enhance engineering system efficiency.

The study synthesizes advancements in automated drafting, CAD model evaluation, and additive manufacturing integration to develop a conceptual architecture that enables real-time design refinement and prototyping readiness. Key contributions include the integration of automated CAD assessment mechanisms, optimization-driven model generation, and seamless CAD-to-manufacturing transition strategies. The framework also considers industrial customization requirements, particularly in product personalization and mass customization environments.

Findings suggest that intelligent CAD systems significantly reduce design iteration cycles, improve manufacturability accuracy, and enhance prototyping efficiency. However, limitations persist in computational cost, system interoperability, and algorithmic adaptability across diverse engineering domains. The study concludes that intelligent CAD frameworks represent a critical step toward fully autonomous engineering design ecosystems.