An Intelligent Personal Assistant Relevance
Adly, B., Ewnan, T., Hagrss, M., Slime, E., Nady, M., Hesham, M., Mohammed, N., Raafat, S., Othman, E. (2021). An Intelligent Personal Assistant Relevance. EKB Journal Management System, 5(5), 469-475. doi: 10.21608/iugrc.2021.246532
Beshoy Nady Adly; Tomas Azer Ewnan; Menna Mohammed Hagrss; EL shimaa Mohammed Slime; Marian Nady; Mahmoud Hesham; Norhan Mohammed; Shihab Raafat; Emad S. Othman. "An Intelligent Personal Assistant Relevance". EKB Journal Management System, 5, 5, 2021, 469-475. doi: 10.21608/iugrc.2021.246532
Adly, B., Ewnan, T., Hagrss, M., Slime, E., Nady, M., Hesham, M., Mohammed, N., Raafat, S., Othman, E. (2021). 'An Intelligent Personal Assistant Relevance', EKB Journal Management System, 5(5), pp. 469-475. doi: 10.21608/iugrc.2021.246532
Adly, B., Ewnan, T., Hagrss, M., Slime, E., Nady, M., Hesham, M., Mohammed, N., Raafat, S., Othman, E. An Intelligent Personal Assistant Relevance. EKB Journal Management System, 2021; 5(5): 469-475. doi: 10.21608/iugrc.2021.246532

An Intelligent Personal Assistant Relevance

The International Undergraduate Research Conference
Volume 5, Issue 5, 2021, Page 469-475  XML PDF (512.2 K)
Document Type: Original Article
DOI: 10.21608/iugrc.2021.246532
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Authors
Beshoy Nady Adly1; Tomas Azer Ewnan1; Menna Mohammed Hagrss1; EL shimaa Mohammed Slime1; Marian Nady1; Mahmoud Hesham1; Norhan Mohammed1; Shihab Raafat1; Emad S. Othman2
1Senior Member IEEE - Region 8, High Institute for Computers and Information Systems, AL-Shorouk Academy, Cairo – Egypt.
2Senior Member IEEE - Region 8, High Institute for Computers and Information Systems, AL-Shorouk Academy, Cairo – Egypt.
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
Deep Learning; Face Recognition; Object Recognition; Local Binary Patterns Histogram (LBPH)
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