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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM42239
Volume:
9 |
3 |
Mar 2025
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.
Social media’s quick rise has made analysing performance a key part of online outreach plans. Current tools often can’t give good insights because they can’t check main numbers and how content does. Old systems don’t give deep looks at how users interact, what they feel, and what works well. This paper shows the “Social Media Metrics and Insights Tool with Generative AI,” which aims to fix these problems. By using new AI tech, like machine learning and generative AI, the tool gives a full analysis. It looks at key numbers like likes, comments, shares, and views. It makes an overall “Engagement Score” and gives ideas to make low performing posts better. The tool also checks how you’re doing compared to others, makes better hashtags and captions, and says when it’s best to post based on past data. The system uses generative AI to come up with new content ideas and plans keeping people interested. This new tool not makes social media plans more accurate but also gets more people involved by giving useful and timely insights. It works well even with lots of data making it key for businesses and people who want to do better on social media.
KEYWORDS
Publication Date
10/2/2025
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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No funding information available for this research.
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