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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM42373

AI-Powered Dynamic Banner Generation

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM42373

Volume:

9 |

3 |

Mar 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM42373

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

AS

Ansh Sinha

YRN

Yashas R. N.

TS

Tushar S.

SHR

Sunilkumar H. R.

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Abstract

This paper presents an AI-powered approach for generating dynamic, visually engaging promotional banners. The system adapts content in real-time to match user preferences and browsing behaviors, aiming to improve engagement and conversion rates. By leveraging machine learning algorithms, the banner generator personalizes images, colors, and text to suit targeted audiences. Initial results indicate a marked improvement in user interaction and engagement when compared to traditional, static banners. Future work will involve optimizing banner design elements and expanding the system’s adaptability to more diverse audience segments.

KEYWORDS

Artificial Intelligence (AI) Machine Learning (ML) Click-Through Rate (CTR) Content Delivery Network (CDN) Amazon Web Services (AWS) General Data Protection Regulation (GDPR) Neural Network (NN) User Interaction (UI)

Cite This Article

Ansh Sinha, Yashas R. N., Tushar S., Sunilkumar H. R., "AI-Powered Dynamic Banner Generation," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 3, Mar 2025. https://doi.org/10.55041/IJSREM42373

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Publication Date

3/13/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 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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