MUMBAI, India, July 30 -- Intellectual Property India has published a patent application (202641087526 A) filed by Dr. Sowmya N; Dr. Ranga N; Kiran R; and Suhail Ahmed on July 17, 2026, for Ai In Project Management.
Inventors include Dr. Sowmya N; Dr. Ranga N; Kiran R; and Suhail Ahmed.
The application for the patent was published on July 24, 2026, under issue no. 30/2026.
Abstract: The present invention provides an Artificial Intelligence-based project management system and process for improving project planning, scheduling, resource allocation, risk prediction, performance monitoring, and managerial decision-making. The proposed system integrates machine learning, predictive analytics, natural language processing, intelligent optimization, explainable artificial intelligence, and continuous learning within a unified project management platform. Project-related data, including task schedules, employee information, resource availability, budget records, communication data, project documents, and historical performance information, is collected and processed through a data acquisition and pre-processing module. An intelligent planning module estimates task duration, project completion time, resource requirements, and budget variations. An adaptive scheduling module dynamically revises project schedules based on task dependencies, priorities, delays, and changing operational conditions. A resource allocation module recommends suitable assignments by analysing employee skills, workload, availability, productivity, and task requirements. A predictive risk analysis module identifies potential delays, cost overruns, resource shortages, technical issues, and operational disruptions and generates early warnings and mitigation recommendations. Natural language processing is used to analyze project communications, reports, meeting records, and stakeholder feedback. An explainable AI module provides interpretable reasons for generated predictions and recommendations, while a human validation mechanism enables authorized project managers to approve, modify, or reject system outputs. A continuous learning mechanism updates AI models using actual project outcomes across diverse organizational sectors and complex project environments. The invention thereby provides an adaptive, transparent, and data-driven project management environment that reduces delays, improves resource utilization, strengthens risk management, minimizes cost deviations, and enhances overall project execution and successful project completion.
Disclaimer: Curated by HT Syndication.
