Authors : Dr. Dushyanth ND; P Sadik Ahamed; Mohd Momin; Eshrath Aziz; Sai Shakthi KS

Volume/Issue : Volume 10 - 2025, Issue 5 - May

Google Scholar : https://tinyurl.com/djj8kv3s

DOI : https://doi.org/10.38124/ijisrt/25may1578

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : The use of artificial intelligence has drastically revolutionized the way we do different things. Marketing, advertising, and entertainment that people have been doing can be quickly transformed with AI interaction. A major drawback of the current marketing environment is that the space for creation and problem-solving has mostly been captured by the traditional and ready-made content formats with them as the main channels for advertisement, such as the social media and search engines. Even though, it can be said that these methods solely bring desired results but more often than not, they do not possess the creative and unique features that can stand them out in a fiercely competitive market. To tackle this issue, we are introducing a system to automatically create product and UGC videos through an AI. It creates a script through GPT 40, moreover, in the presence of product points, it merges them with the AI avatars, adds words in the multilingual voices, and is finally subjected to the video editing powered by AI. The resulting videos are easily shared and downloaded thus enabling fast, scalable and personalized content creation among other benefits. This survey delves into the present capabilities, benefits, and limitations of AI-driven ad generators in the context of contemporary digital marketing.

Keywords : AI Advertisement Generator, Digital Marketing, Ad Automation, Content-Creation, Social Media, UGC Videos.

References :

1. S. Agrawal and S. Nadakuditi, “Artificial Intelligence for Advertising: Machine Learning and Neural Networks,” in Proc. IEEE ComSDS, 2025. DOI: 10.1109/ComSDS65569.2025.10971296.
2. D. Das and S. Chowdhury, “Using Artificial Intelligence Algorithms in Advertising,” in Proc. IEEE IC2IE, 2024. DOI: 10.1109/IC2IE63342.2024.10747969.
3. M. C. Enache, “AI for Advertising,” EAI Endorsed Transactions on Creative Technologies, vol. 7, no. 24, 2020. DOI: 10.35219/eai1584040978.
4. T. Islam et al., “MARK-GEN: Transforming Digital Marketing with Generative AI Framework,” Computers, vol. 13, no. 7, 2024. DOI: 10.3390/computers13070168.
5. E. Jafarian and M. Farokhi, “Determinants of AI Image Generator Adoption: A Technology Acceptance Model Approach,” Sustainability, vol. 16, no. 23, 2024. DOI: 10.3390/su162310511.
6. K. Chilupuri and M. Ramesh, “Artificial Intelligence Based Advertisement Designing Using PIL,” in Proc. IEEE ElConRus, 2022. DOI: 10.1109/ElConRus54750.2022.9755590.
7. K. Vinaykarthik and R. Mohana, “AI Enhanced Web Design for Advertisements and User Engagement,” in Proc. IEEE I-SMAC, 2024. DOI: 10.1109/I-SMAC61858.2024.10714771.
8. R. Gupta, P. Shah, and D. Nair, “AI Tools for Product-Based Advertisement Creation,” in Proc. IEEE IITCEE, 2025. DOI: 10.1109/IITCEE64140.2025.10915297.
9. S. Singh, R. Deshmukh, and V. Rane, “Generative AI for Personalized Advertising in AR/VR Platforms,” in Proc. IEEE UEMCON, 2023. DOI: 10.1109/UEMCON59035.2023.10315999.
10. N. Bara, A. Alex, and A. Anand, “Machine Learning and Neural Networks in Media and Advertising,” in Proc. IEEE RAAICON, 2024. DOI: 10.1109/RAAICON64172.2024.10928548.
11. A. Ramagundam and R. Karne, “GANs for Automated Advertisement Generation on Digital TV Platforms,” in Proc. IEEE ETCM, 2024. DOI: 10.1109/ETCM63562.2024.10746166.
12. J. Boyko and R. Korban, “AI Algorithms for Dynamic Content Personalization in Ads,” in Proc. IEEE CSIT, 2022. DOI: 10.1109/CSIT56902.2022.10000819.
13. C. Chen, Y. Zhang, and H. Liu, “Multi-modal AI System for Virtual Gallery Ads,” in Proc. IEEE ICOSEC, 2022. DOI: 10.1109/ICOSEC54921.2022.9952005.
14. Y. Li, M. Nandy, T. Islam, and J. Choudrie, “Generative AI and Sustainable Digital Marketing,” in Proc. IEEE CYBERCOM, 2024. DOI:10.1109/CYBERCOM63683.2024.10803184.
15. Z. Zhang, Y. Yu, and D. Hu, “Generative AI for Content Creation in Digital Marketing:A Survey,” IEEE MITP, 2024. DOI: 10.1109/MITP.2024.3457328.