SynapticCircuits

AI for Analog Circuit Understanding, Debugging & Improvement
Development in progress — early concept repository.

SynapticCircuits is an upcoming AI-powered engine designed to analyze and interpret analog circuits.
It will combine SPICE-backed simulation with intelligent reasoning to deliver:

Circuit Explanation

Identify roles of R, C, L, transistors, filters, bias networks, and understand how signals flow.

Circuit Debugging

Detect wiring mistakes, wrong bias points, unstable configurations, loading issues, and incorrect component values.

Improvement Suggestions

Recommend value changes, stability fixes, noise reduction, bandwidth improvements, and better design practices.

The goal is to bring human-level insight to analog circuits — making them easier to learn, analyze, and refine.

More updates coming soon.

SynapticCircuits 🧠⚡

AI-Powered Analog Circuit Understanding & Generation Engine

SynapticCircuits is an intelligent bridge between natural language and SPICE-level engineering. It leverages the Gemini 3 Flash model to interpret complex circuit requirements and converts them into functional, simulated netlists ready for industry-standard tools like LTspice.

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🚀 Key Features

• Natural Language to SPICE: Convert plain English descriptions into valid .cir netlists.
• Intelligent Reasoning: AI identifies component roles (filters, bias networks, gain stages) and suggests values.
• Automated Validation: Generates mathematically structured SPICE code using PySpice.
• One-Click Simulation Ready: Exported files are directly compatible with LTspice, Ngspice, and PSpice.

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🛠️ Installation

Prerequisites

• Python 3.9 or higher
• LTspice (optional, for viewing/simulating generated circuits)

Setup

1. Clone the repository:

   git clone [https://github.com/YourUsername/SynapticCircuits.git](https://github.com/YourUsername/SynapticCircuits.git)
   cd SynapticCircuits