MUMBAI, India, Oct. 26 -- Intellectual Property India has published a patent application (202641123906 A) filed by Srm Institute Of Science And Technology, Ramapuram Campus; and Easwari Engineering College on October 16, 2026, for Ai Based Whatsapp Message Prioritization And Automated To Do List Generation System.
Inventors include Mr. P. M. Suresh; Dr. M. Jeevitha; and Dr. N. Kannammal.
The application for the patent was published on October 23, 2026, under issue no. 43/2026.
Abstract: Abstract The present invention relates to an intelligent computer-implemented system for processing authorized messages received through an instant messaging platform, including WhatsApp, and transforming relevant message content into a prioritized and traceable task list. The system comprises a secure message collection module, a preprocessing module, a duplicate and semantic-similarity detection module, an intent classification module, a contextual priority engine, an action-item and entity extraction module, a task reconciliation module, a reminder controller, and a user interface. Exact duplicates and paraphrased messages expressing a common actionable intent are grouped while their source provenance is retained. A priority score is determined from urgency expressions, temporal constraints, sender and group context, user rules, learned preferences, and model confidence. Actionable content is converted into a structured task record containing an action, object, due date, due time, responsible person, location, priority, confidence value, status, and references to one or more source messages. Conflicting or incomplete temporal expressions are resolved or presented for confirmation. Reminder timing is selected according to the due time, priority, user availability, and notification policy. The system reduces redundant processing and display of repeated messages, improves timely identification of obligations, and preserves user control by processing only authorized content and permitting confirmation, correction, dismissal, and deletion of generated tasks.
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