Teamllamainspector

Llama Inspector is an AI-powered hardware inspection assistant designed to analyse images of electronic circuit boards and identify potential physical issues. The system uses computer vision and multimodal AI to examine uploaded circuit-board images, describe visible components, and highlight possible problems such as missing components, loose connections, corrosion, damaged areas, and other visible abnormalities. It provides a structured inspection report containing: Visible observations about the circuit board. Potential hardware issues that may need attention. Explanations of suspicious areas. Suggested safe next steps for further inspection. The current prototype uses a Flask-based web application with Ollama and the LLaVA vision-language model for local image analysis. The goal is to make preliminary hardware inspection more accessible, helping students, electronics enthusiasts, and technicians understand possible board-level issues. Llama Inspector is designed as an assistive tool, not a replacement for professional hardware testing. Its findings require human verification before any repair decisions are made. Future scope: Integration of camera-based inspection, including ESP32-CAM hardware, improved visual analysis, and more advanced multimodal AI capabilities