MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202611020845 A) filed by Shraddha Sharma; Mrs. Kokila S; Prattipati Keerthi; Mr. J. Dinesh Kumar; Dr. Shree Ram Malani; and Mr. R. Elakkiyadasan, Greater Noida, Uttar Pradesh, on Feb. 23, for 'ai-driven intelligent system and method for dynamic estimation of construction cost and project completion time.'
Inventor(s) include Shraddha Sharma; Mrs. Kokila S; Prattipati Keerthi; Mr. J. Dinesh Kumar; Dr. Shree Ram Malani; and Mr. R. Elakkiyadasan.
The application for the patent was published on April 17, under issue no. 16/2026.
According to the abstract released by the Intellectual Property India: "The present invention discloses an AI-driven intelligent system and computer-implemented method for dynamic estimation of construction cost and project completion time through integration of multi-source data acquisition, advanced preprocessing and feature engineering, machine learning-based predictive analytics, probabilistic risk assessment, and adaptive learning mechanisms. The system aggregates historical project data, real-time site inputs, market price trends, labor productivity metrics, environmental conditions, and regulatory parameters to generate accurate, region-specific, and risk-adjusted forecasts. By continuously comparing predicted values with actual project performance and recalibrating model parameters, the invention progressively improves estimation accuracy. The disclosed platform enhances financial planning, minimizes cost overruns, reduces schedule delays, and supports data-driven decision-making across residential, commercial, industrial, and infrastructure construction projects."
Disclaimer: Curated by HT Syndication.
