YOOVA AI: Content Generator for Social Media Apps

Authors

  • Muskan Bombeshwar
  • Apoorva Tiwari
  • Swasti Pandey
  • Revati Raman Dewangan

Keywords:

AI content generation, AI social media analytics, AI writing tools, AI driven content optimization, Automated post scheduling, Content personalization, Natural Language Processing (NLP), Social media automation, Social media marketing

Abstract

This study investigates how YOOVA AI, a fictitious AI content generator, can transform the production of material for social media. YOOVA AI might improve audience engagement, expedite social media tactics, and provide data-driven insights by automating and personalising content. The characteristics, advantages, and difficulties of AI-driven content creation are covered in the study, along with issues of consistency, time efficiency, and ethics. It ends by emphasising the need of further study on ethical frameworks, comparative studies, and human-AI cooperation in order to guarantee the efficient and responsible use of AI in the production of social media content.

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Published

2025-06-26

How to Cite

Muskan Bombeshwar, Apoorva Tiwari, Swasti Pandey, & Revati Raman Dewangan. (2025). YOOVA AI: Content Generator for Social Media Apps. Journal of Web Development and Web Designing, 10(2), 7–16. Retrieved from https://matjournals.net/engineering/index.php/JoWDWD/article/view/2095

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Section

Articles