An Intelligent Personal Assistant Relevance

Adly, Beshoy Nady; Ewnan, Tomas Azer; Hagrss, Menna Mohammed; Slime, EL Shimaa Mohammed; Nady, Marian; Hesham, Mahmoud; Mohammed, Norhan; Raafat, Shihab; Othman, Emad S.

doi:10.21608/iugrc.2021.246532

An Intelligent Personal Assistant Relevance

Document Type : Original Article

Authors

¹ Senior Member IEEE - Region 8, High Institute for Computers and Information Systems, AL-Shorouk Academy, Cairo – Egypt.

² Senior Member IEEE - Region 8, High Institute for Computers and Information Systems, AL-Shorouk Academy, Cairo – Egypt.

10.21608/iugrc.2021.246532

Abstract

Despite the great development that has occurred in deep learning field, the problem still persists, and this negates the main reason for creating software, which is to facilitate business, trade, transactions, communication, and others. Deep learning methods are computational models that are composed of multiple processing layers to learn representations of data with multiple levels of abstraction. In this paper, we implemented internet searching on Google and YouTube using voice commands then displaying results, recognizing faces and fingerprints for users to improve security, gathering information, answering questions and reading them to the user, fully controlling all files and folders on the computer and carrying out all common operations on them such as (add, delete, move, rename, create).The system uses Speech Recognition API introduced by Google, Local Binary Patterns Histogram (LBPH) to perform face/object recognition. The evaluation is performed using Histogram analysis and the results show superiority of the model and the efficiency of LBHP algorithm in various applications for facial recognition.

Keywords