MUMBAI, India, June 22 -- Intellectual Property India has published a patent application (202641049947 A) filed by Anandas Asrith; Japathi Akshara; Panasa Raghayendar; and N. Selvamuthukumuran on April 20, 2026, for Opportunet Ai A Multi-Agent Recommender System Using Reinforcement Learning And Graphs.

Inventors include Anandas Asrith; Japathi Aksi-Iara; Panasa Raghayendar; and N. Selvamuthukumuran.

The application for the patent was published on June 12, 2026, under issue no. 24/2026.

Abstract: 9.Abstract of the Invention: In the modern academic environment, students are exposed to a wide range of opportunities such as hackathons, internships, workshops, and research programs; however, identifying relevant opportunities remains a challenge due to fragmented information sources, lack of personalization, and inefficient manual searching. Existing systems rely on static filtering techniques and fail 1 to adapt to user preferences, resulting m low relevance and reduced I engagement. This project presents OpportuNet AI - an Agentic Multi-Agent Recommender System designed to provide intelligent, personalized, and adaptive academic opportunity recommendations by integrating Graph Neural Networks (GNN), Reinforcement Learning (RL), and Explainable Artificial Intelligence (XAI). The system models students, skills, and opportunities as a heterogeneous graph to capture complex relationships, while the reinforcement learning agent continuously Improves recommendations based on user interactions such as clicks, registrations, and completions. Additionally, a peer matching module IS incorporated collaborative activities, enhancing to identify teamwork compatible students and participation. for i The explainability component ensures transparency by providing clear reasoning behind recommendations, thereby improving user tmst. Experimental results demonstrate improved performance in terms of accuracy, precision, recall, and user engagement compared to traditional methods. Overall, the proposed system offers a scalable and efficient solution for academic opportunity discovery, reducing manual effort, enhancing decision-making, and supporting collaborative learning, with strong potential for deployment m educational and career guidance platforms.

Disclaimer: Curated by HT Syndication.