Praxis

Praxis is an AI-powered visual troubleshooting assistant that helps people understand, diagnose, and repair physical electronic circuits. Troubleshooting electronic circuits can be frustrating, especially for students, hobbyists, and beginners. A single misplaced wire or incorrectly connected component can prevent an entire circuit from working, yet identifying the problem often requires technical expertise, circuit diagrams, and time-consuming manual inspection. Praxis aims to make this process more accessible by combining computer vision, AI-powered component recognition, spatial understanding, and electrical connectivity reasoning. Using a camera or uploaded image, Praxis identifies electronic components, detects wires and their connection points, maps them to breadboard coordinates, and reconstructs an electrical connectivity graph. It can then compare the observed connections against the circuit's intended design to identify potential wiring faults, explain their consequences, and suggest specific corrections. Rather than simply telling users something is wrong, Praxis aims to show them exactly where the problem is, guide them through fixing it using visual overlays, and verify the correction through a new image. Built for the Meta Global AI Hackathon, Praxis explores how AI can move beyond recognizing objects in images to understanding physical relationships, reasoning about real-world problems, and helping people solve them. The vision is simple: See the circuit. Understand the fault. Fix with confidence.