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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM56272
Volume:
10 |
1 |
Jan 2026
Pages:
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.
The rapid rise of digital platforms has further emphasized the need for consistent, high-quality, and audience- focused content on blogs and social media platforms. Content creation has emerged as a crucial element of digital marketing, communication, and engagement. Nevertheless, the conventional content creation process is highly dependent on manual ideation, writing, editing, and optimization, making it a time-consuming, expensive, and unscalable process. Content creators and organizations often struggle with the challenges of consistency, tone variation on different platforms, meeting publication deadlines, and keeping up with the latest trends and audience preferences at a rapid pace. This paper proposes an AI-powered Content Generation System for Blogs and Social Media, which leverages natural language processing (NLP), machine learning algorithms, and prompt-based content generation to automate and optimize the content creation process. The proposed system takes into account user inputs such as content goals, target audience,
KEYWORDS
Publication Date
1/30/2026
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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