| An Intelligent Personal Assistant Relevance |
| Paper ID : 1157-IUGRC5 (R1) |
| Authors: |
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Assoc. Prof. Emad S. Othman * عمارة 360 زهراء مدینة نصر شقة رقم 51 اسکان ضباط القوات المسلحة –الحى العاشر - محافظة القاهرة. الرقم البریدى : |
| 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 performed conducting internet searches on Google and YouTube using voice commands and showing results, recognizing faces and fingerprints for users to improve security, collecting information, answering questions, and reading them to the user, and 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) and Machine Learning. |
| Status : Paper Accepted (Oral Presentation) |
