Schematic Sense

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Schematic Sense was inspired by our experience working on hardware and robotics projects where interpreting circuit schematics often took hours. We wanted to create an AI tool that could instantly understand a circuit the way an engineer does, identifying components, explaining their functions, and summarizing how everything connects.

The app lets users upload a schematic image or video and receive an AI-generated analysis powered by GPT-4 Vision. It recognizes components like resistors, capacitors, and ICs, outlines their relationships, and provides a clear explanation of circuit behavior. This turns complex diagrams into understandable and interactive insights.

The project was built with a Next.js and TailwindCSS frontend connected to a FastAPI backend. The backend encodes uploaded images in Base64 and sends them to GPT-4 Vision, while Axios manages communication between both ends. Together, they form a smooth full-stack pipeline that transforms schematics into readable analyses.

Some of the main challenges included refining the AI prompt for consistent accuracy, managing large file uploads efficiently, and designing a clean interface that feels professional yet simple. Overcoming these helped us gain practical experience with AI integration, prompt tuning, and full-stack development.

In the future, we plan to add auto-labeling for components, link detected parts to datasheets, and generate PCB netlists directly from the analyzed schematics. Schematic Sense shows how AI can simplify circuit understanding, making electronic design faster, smarter, and more accessible to everyone.