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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM64191
Volume:
10 |
5 |
May 2026
Pages:
1-6
Publication Frequency:
Monthly (12 issues per year)
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.
Master of computer application
Bapuji institute of engineering and technology Davangere
Master of computer application
Bapuji institute of engineering and technology Davangere
Master of computer application
Bapuji institute of engineering and technology Davangere
This project explores how Artificial Intelligence (AI) is changing the way video content is created for marketing purposes. Given the need to enhance the role of videos in digital marketing strategies, it is evident that the creation of AI programs makes it possible to automate the process of making videos for advertising purposes. Thanks to the existence of such systems as Synthesia, Pictory, and Lumen5, digital marketers can produce videos without having to buy a video camera or involve any models into the process. The current paper emphasizes that one of the opportunities provided by AI technologies refers to personalization of the process of producing video ads by analyzing the preferences of the targeted audiences and making personalized videos for them. Examples from practice, such as case studies, prove the efficiency of this method and the effect of AI-based video advertising on the performance of firms. Information collected via interviews and questionnaires may be applied to establish what effect the use of AI-based video advertising has on the results achieved by firms. At the same time, it is essential to highlight certain challenges related to the implementation of video marketing.
KEYWORDS
The AI Video Content Creation for Marketing project showcases how AI and automation can be utilized to streamline the process of creating videos for marketing purposes. This is done through content creation where text serves as input; selecting visuals suitable for marketing purposes, and audio voices capable of generating videos. This project makes sure that no barriers exist between the marketing process and content creation because no special skills in video editing are required to generate videos. All the videos generated using this technology fulfill all requirements and conform to the brand tone.
1. Brown, T., & Lee, M. (2022). AI- Driven Marketing Strategies: Transforming Digital Advertising with Automation. Springer Publications. 2. Sharma, R., & Gupta, P. (2021). Artificial Intelligence in Multimedia Content Creation. IEEE Access Journal. 3. Kumar, S. (2020). Next-Generation AI Tools for Marketing Content Development. International Journal of Computer Applications. 4. Li, H., & Zhao, Y. (2022). Machine Learning in Video Production and Automation. Elsevier. 5. Patel, A. (2021). Deep Learning Applications in Digital Media and Marketing. ACM Digital Library. 6. Johnson, K. (2020). AI-Powered Storytelling: The Future of Content Marketing. Journal of Digital Innovation. 7. Singh, D., & Verma, R. (2021). A Study on AI-Based Video Generation Tools. International Research Journal of Engineering and Technology (IRJET). 8. Chen, L. (2022). The Role of Artificial Intelligence in Video Editing Automation. IEEE Transactions on Multimedia. 9. Miller, J. (2023). Smart Video Marketing: Leveraging AI for Creative Campaigns. Taylor & Francis Group. 10. Davis, R. (2020). Intelligent Systems for Digital Advertising. Journal of Artificial Intelligence Research.
Publication Date
5/28/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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