MUMBAI, India, Nov. 2 -- Intellectual Property India has published a patent application (202641124167 A) filed by Santosh Pokharel; Prof. Jaladi Ravi; Ayush Khanal; Pragyan Kumar Singh; Swarnim Rishal; and Praveen Gupta on October 16, 2026, for Ai-Based System And Method For Analyzing Political Brand Engagement And Voter Citizenship Behaviour.
Inventors include Santosh Pokharel; Prof. Jaladi Ravi; Ayush Khanal; Pragyan Kumar Singh; Swarnim Rishal; and Praveen Gupta.
The application for the patent was published on October 30, 2026, under issue no. 44/2026.
Abstract: The present invention provides an AI-driven system and methodology are presented for assessing political brand interaction and voter engagement behavior through social media data. This system includes a dataset collection module designed to compile video content from YouTube, a data preprocessing module that performs tokenization on the collected content, and a feature extraction module that utilizes Term Frequency-Inverse Document Frequency (TF-IDF) transformations to generate numerical representations of text features. An Intelligent Coot Bird Optimized Categorical Boosting (ICBO-CatBoost) engine analyzes the extracted features to categorize voter opinions and engagement metrics, while analytics result module (110) measures the system’s performance in terms of accuracy, precision, recall, and F1-score to provide automated insights into political sentiment. FIG.1
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