MUMBAI, India, June 22 -- Intellectual Property India has published a patent application (202621049129 A) filed by Moresh Madhukar Mukhedkar; Vivekanand Rohidas Bhandare; Prathmesh Vitthal Pacharne; Sayali Gajanan Ganoje; Prathamesh Janardhan Bhujbal; Pankaj Shinde; Shweta Koparde; and Vivek Patil on April 17, 2026, for Find Your Teammates.
Inventors include Moresh Madhukar Mukhedkar; Vivekanand Rohidas Bhandare; Prathmesh Vitthal Pacharne; Sayali Gajanan Ganoje; Prathamesh Janardhan Bhujbal; Pankaj Shinde; Shweta Koparde; and Vivek Patil.
The application for the patent was published on June 12, 2026, under issue no. 24/2026.
Abstract: The Find Your Teammates system is a web-based platform designed to facilitate efficient team formation by connecting individuals with shared interests, skills, and activity goals. The system integrates a client-server architecture comprising a user interface, a backend processing unit, and a centralized database to manage user profiles, activity listings, and communication data. The platform incorporates a matchmaking mechanism that analyzes user-defined attributes and preferences to generate compatible teammate recommendations. Additionally, it provides an activity management module that enables users to create, browse, and manage activity listings. A real-time communication module, implemented using asynchronous protocols, allows seamless interaction between users through messaging and invitations. The system also includes authentication and security mechanisms to ensure safe access and data protection. Notification services are integrated to deliver real-time updates regarding user interactions and activities. Designed with scalability and responsiveness in mind, the platform supports multiple concurrent users and ensures accessibility across various devices. Overall, the proposed system offers an automated, user-centric, and scalable solution for team formation, enhancing collaboration and community building through intelligent matching and efficient communication. A key component of the system is its intelligent matchmaking mechanism, which enhances the efficiency and quality of teammate selection. This module analyzes various user attributes, including interests, skills, preferences, and availability, to identify compatible individuals. By leveraging techniques such as preference-based filtering and similarity scoring, the system generates personalized recommendations, reducing the need for manual searching and improving the likelihood of successful collaboration. The matchmaking process is designed to be adaptive, enabling the system to refine recommendations over time based on user interactions and feedback. In addition to matchmaking, the system incorporates an activity management module that allows users to create, update, and manage activity listings. Each listing includes relevant details such as activity type, required skills, number of participants, and timing. Users can browse available activities, apply to join, or invite others to participate, thereby facilitating structured and organized team formation. To support effective communication, the platform integrates a real-time messaging system that enables users to interact seamlessly. This communication module utilizes asynchronous technologies to ensure low-latency message delivery, allowing users to coordinate efficiently. Features such as chat, invitations, and notifications enhance user engagement and ensure that important updates are delivered promptly.
Disclaimer: Curated by HT Syndication.
