There are many situations where we have different electronic components and devices which we have no knowledge about.
Nazar allows the user to take a picture using the real time camera or fetch image from gallery to identify the component with the predicted percentage, thus using image processing and algorithm to segment them after detection.
The current build is using Tensorflow flask server deployed on heroku for Post request API for image processing thus user can identify electronic components on a model trained on InceptionV3 with 1000's on images trained on AWS Sagemaker along with Object Detection API being implemented in other build along with getting feeds from server for details about the multiple segmented components.
Also, it gives option to search about the component on the internet in google and Wikipedia along with showing description about it using octopart-api
The application is an open-sourced project for collaboration: