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OmniVerse: Local On-Device Multi AI System and Live Student Monitoring via Facial Recognition

by Mohd. Ashfaque, Wael Shaikh, Badreen Jaffer
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 185 - Number 48
Year of Publication: 2023
Authors: Mohd. Ashfaque, Wael Shaikh, Badreen Jaffer
10.5120/ijca2023923303

Mohd. Ashfaque, Wael Shaikh, Badreen Jaffer . OmniVerse: Local On-Device Multi AI System and Live Student Monitoring via Facial Recognition. International Journal of Computer Applications. 185, 48 ( Dec 2023), 6-9. DOI=10.5120/ijca2023923303

@article{ 10.5120/ijca2023923303,
author = { Mohd. Ashfaque, Wael Shaikh, Badreen Jaffer },
title = { OmniVerse: Local On-Device Multi AI System and Live Student Monitoring via Facial Recognition },
journal = { International Journal of Computer Applications },
issue_date = { Dec 2023 },
volume = { 185 },
number = { 48 },
month = { Dec },
year = { 2023 },
issn = { 0975-8887 },
pages = { 6-9 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume185/number48/33012-2023923303/ },
doi = { 10.5120/ijca2023923303 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:29:05.829361+05:30
%A Mohd. Ashfaque
%A Wael Shaikh
%A Badreen Jaffer
%T OmniVerse: Local On-Device Multi AI System and Live Student Monitoring via Facial Recognition
%J International Journal of Computer Applications
%@ 0975-8887
%V 185
%N 48
%P 6-9
%D 2023
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The OmniVerse project is a pioneering venture into the world of AI-powered web applications, promising to transform digital content interaction and artificial intelligence engagement. This report comprehensively explores OmniVerse's innovative features, its diverse user base, robust technical foundations, and meticulous development process. Notably, OmniVerse's three key features - text and code generation, image manipulation, and audio creation - harness cutting-edge machine learning algorithms to redefine user experiences. It streamlines content creation, aids creative professionals, and revolutionizes music production. OmniVerse caters to a diverse user base, emphasizing efficiency and innovation, while its precision and user-friendly design make it indispensable. In essence, OmniVerse is a gateway to heightened productivity and boundless creativity, driven by AI-driven text, image, and audio generation features, offering a transformative user experience.

References
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  6. Jade Copet, Felix Kreuk, Itai Gat, Tal Remez, David Kant, Gabriel Synnaeve, Yossi Adi, Alexandre Défossez. Simple and Controllable Music Generation
  7. Albert Q. Jiang, Alexandre Sablayrolles, Arthur Mensch, Chris Bamford, Devendra Singh Chaplot, Diego de las Casas, Florian Bressand, Gianna Lengyel, Guillaume Lample, Lucile Saulnier, Lélio Renard Lavaud, Marie-Anne Lachaux, Pierre Stock, Teven Le Scao, Thibaut Lavril, Thomas Wang, Timothée Lacroix, William El Sayed. Mistral 7B
Index Terms

Computer Science
Information Sciences

Keywords

AI Generative AI WebApp Security Computer Vision

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