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EDA UNIFIED is a requirements-driven engineering framework for automating a substantial part of the electronic design workflow, from structured technical requirements to a verified schematic and an engineering output package. The system organizes the design process as a staged pipeline: Technical Specification → Parsed Requirements → Topology → Calculated Design → EDA Schematic → Verification → Engineering Outputs. The current implementation provides a structured 19-step requirements workflow, machine-readable requirements and topology representations, topology-based circuit design, component value calculation, KiCad-oriented schematic generation, electrical verification, optional SPICE simulation integration, and generation of engineering documentation and output artifacts. A separate reverse-engineering channel is also included for recognizing electronic schematics from images or PDF documents and reconstructing their connectivity into a structured netlist representation. The project is designed around explicit engineering stages, validation gates, machine-readable schemas, traceability, reproducibility, and verification evidence. Its architecture is intended to support extension to additional circuit topologies, component intelligence, simulation, PCB design and manufacturing verification. Version 1.0 represents the current prototype state. The present implementation does not constitute a universal automatic electronic design system. Topology coverage is limited, vendor-specific component intelligence is incomplete, PCB layout and DRC are outside the complete current implementation, and the schematic recognition channel requires broader benchmarking. Verification results produced by the system should be understood as engineering evidence generated by the implemented checks and tools, not as a guarantee of physical device operation. This publication documents the technical concept, architecture, workflow and current implementation status of EDA UNIFIED and establishes a public timestamped record of the project.
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Vladimer Nersesiani (2026) studied this question.
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