Intellectual Property India Publishes Patent Application for 'AI-Based Decision Support System For Project Risk Prediction In Project Management' Filed by Winny Elizabeth Philip; Paulson Geo Philip; and T. V Krishnamoorthy

MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641051161 A) filed by Winny Elizabeth Philip; Paulson Geo Philip; and T. V Krishnamoorthy, Kadakatla, Andhra Pradesh, on April 22, for 'ai-based decision support system for project risk prediction in project management.'

Inventor(s) include Winny Elizabeth Philip; Paulson Geo Philip; and T. V Krishnamoorthy.

The application for the patent was published on May 1, under issue no. 18/2026.

According to the abstract released by the Intellectual Property India: "The present invention relates to a decision support system for project management that integrates stakeholder uncertainty perception and behavioral factors to predict project risks and enhance decision effectiveness. The system comprises an input module configured to collect project-related data, including project parameters, stakeholder attributes, and managerial decision-making styles. A processing module analyzes the collected data using a hybrid model combining rule-based logic and machine learning techniques to evaluate the impact of stakeholder uncertainty and cognitive biases on project outcomes. A behavioral analysis engine is incorporated to identify patterns of decision-making biases, including overconfidence, anchoring, and confirmation bias, which may influence managerial judgments. Based on the integrated analysis, a risk prediction module generates a dynamic risk score indicating the likelihood of project delays, cost overruns, or performance deviations. The system further provides actionable recommendations to improve decision quality, including stakeholder engagement strategies and adaptive decision-making frameworks. The proposed system enables real-time, data-driven decision support in complex project environments, thereby improving transparency, reducing uncertainty, and enhancing overall project success rates. The invention is applicable across various industries, including construction, information technology, and service sectors."

Disclaimer: Curated by HT Syndication.