The Electronic Component Classifier is a project that uses machine learning and artificial intelligence to automate the identification and classificat

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2024-10-09 13:30:06

The Electronic Component Classifier is a project that uses machine learning and artificial intelligence to automate the identification and classification of electrical and electronic components. This document serves as a guide for building and operating the classifier.

IntelOPEN Vino RAG implementation for getting datasheets. -The usage of electronic components often depends a lot on there Datasheets. Also, for components such as Transistor and IC's, a single component may have many differen implementations, variants and derivatives. Hence , by leveraging RAG(Retrival Augmentation Generation) we can implement a feature which, by taking in the model of the component,can return a list of it's variants, by pressing the button the user can be redirected to a website which provides a datasheet of the specific derivative of the component.