MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202621057177 A) filed by Ramdeobaba University, Nagpur; Shri Ramdeobaba College Of Engineering And Management, Nagpur; Thakkar, Avni S.; Hardas, Bhalchandra M.; Shende, Vismay; Sorte, Tilak; Jain, Rinkle; and Khan, Amra on May 05, 2026, for A System For Pre-Publication Evaluation And Optimization Of Social Media Content.
Inventors include Thakkar, Avni S.; Hardas, Bhalchandra M.; Shende, Vismay; Sorte, Tilak; Jain, Rinkle; and Khan, Amra.
The application for the patent was published on July 03, 2026, under issue no. 27/2026.
Abstract: The present invention relates to a system (100) for pre-publication evaluation and optimization of social media content. The system (100) includes a user input module (101), an input acquisition module (10), a preprocessing module (20), a multimodal analysis module (30), a creator profiling module (40), a trend intelligence module (50), a prediction module (60), an optimization module (70), an output dashboard (80), and a post-publication feedback learning module (90). The input acquisition module (10) receives draft social media content. The preprocessing module (20) prepares the content for analysis, and the multimodal analysis module (30) extracts content features. The creator profiling module (40) derives creator-specific characteristics from historical content data, while the trend intelligence module (50) compares the draft content with platform or category trend data. The prediction module (60) generates predicted performance outputs prior to publication, and the post-publication feedback learning module (90) updates prediction parameters using actual performance data.
Disclaimer: Curated by HT Syndication.
