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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM48072

Univora AI: Unified AI for a Multimodal World

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM48072

Volume:

9 |

5 |

May 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM48072

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

PBT

Praveen Blessington Thummalakunta1

MJ

Mayank Jaiswal2

AK

Ashish Kumar2

MB

Manish Bharambe2

VK

Vishwajit Kharose2

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Abstract

In the age of digital convergence, content creation is rapidly evolving to span across multiple modalities—text, images, audio, video, and code. Univora AI emerges as an intelligent, unified platform designed to harness advanced AI models for seamless multimodal content generation and automation. This all-in-one SaaS solution caters to businesses, content creators, and developers by integrating state-of-the-art generative models into a single user-centric environment. Leveraging transformer-based architectures and API-driven orchestration, Univora AI enables users to ideate, generate, and customize content with minimal technical intervention. The platform is built to deliver real-time outputs, scale across industries, and offer creative flexibility. This paper outlines the architecture, methodology, key technologies, use cases, and performance benchmarks of Univora AI, presenting it as a transformative tool in the modern content ecosystem.

KEYWORDS

AI integration content automation multimodal generation unified platform Univora AI Artificial Intelligence(AI) All-in-One Platform Multimodal AI Content Generation

Cite This Article

Praveen Blessington Thummalakunta1, Mayank Jaiswal2, Ashish Kumar2, Manish Bharambe2, Vishwajit Kharose2, "Univora AI: Unified AI for a Multimodal World," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 5, May 2025. https://doi.org/10.55041/IJSREM48072

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Publication Date

5/17/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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Copyright Form (Office)

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0

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2

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5

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Conflict of Interest

The authors declare no conflict of interest related to this research work.

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