MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202541112544 A) filed by S. Vijayalakshmi; Abisornam M; Bhuvanashri SK; and Bhavadharani S, Coimbatore, Tamil Nadu, on Nov. 17, 2025, for 'social echo - post impact forecasting for content creators.'
Inventor(s) include S. Vijayalakshmi; Abisornam M; Bhuvanashri SK; and Bhavadharani S.
The application for the patent was published on Jan. 9, under issue no. 02/2026.
According to the abstract released by the Intellectual Property India: "Social media plays a vital role in digital communication, intluencing audiences across platforms such as Tnstagram, YouTube, and X (Twitter). For creators and businesses, understanding how their posts perform and forecasting engagement outcomes is essential for strategic content planning. Traditional impact measurement methods rely on manual analytics or basic metrics, which are timeconsuming, inconsistent, and fail to predict future performance trends. The proposed system, "SOCTALECHO: Post Impact Forecasting", introduces an intelligent and automated platform that leverages Artificial Intelligence (AI), Machine Learning (ML), and Natural Language Processing (NLP) to analyze social media content and forecast its potential impact. By integrating sentiment analysis, engagement tracking, and predictive modeling, the system offers creators real-time insights into audience response, content virality, and optimal posting strategies. The invention addresses limitations in current analytics tools by providing end-to-end automation, real-time forecasting, and data visualization dashboards. It enables creators and organizations to make data-driven decisions, The project "SOCIALECHO: Post Impact Forecasting for Creators" introduces an intelligent platform designed to assist content creators in predicting and enhancing the performance of their social media posts. The system allows users to log in and upload images or videos for editing, after which it analyzes the content and provides platform-specific insights for lnstagram, WhatsApp, and YouTube. The application integrates advanced AI and machine learning models to forecast the expected likes count, perform comment sentiment analysis, and generate personalized hashtag and caption suggestions. It also recommends the best time to post based on audience engagement patterns and identifies current trending topics relevant to each platform. Additionally, it offers creative editing ideas to help users optimize their content for better visibility and interaction.By combining predictive analytics, natural language processing, and trend tracking, SOClALECHO empowers creators to make data-driven decisions, maximize reach, and improve overall engagement. This innovation transforms social media content strategy from guesswork into a precise, insight-oriented process."
Disclaimer: Curated by HT Syndication.
