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The main focus area of this project is to propose a possible hardware solution for each scenario. Build out the application and test its performance on the DevCloud using multiple hardware types. Compare the performance to see which hardware performed best.
Given real-world scenarios to build a queuing system and the hardware specifications, the user can identify which hardware types work best. The application tested using the Intel® DevCloud.
Three real-world scenarios given to analyze and optimize their queuing systems. This project demonstrates how to identify the appropriate Intel Hardware types that will work best for the manufacturing, and retail, and transportation scenarios. This application uses Intel DevCloud.
Breast cancer classification using a simple neural network involves training a neural network model to classify breast tissue images as either benign or malignant, based on the features extracted from the images.
Project #2 for Intel's Udacity Nanodegree Program, using Intel's OpenDev Cloud for benchmarking different use case scenarios for deploying OpenVino on edge devices
In today’s fast-paced world, technology’s impact extends far beyond convenience. It has now ventured into the realm of mental health, offering novel solutions to age-old challenges.