MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202641058165 A) filed by Mr. N. Venkatesh; Mr. S. Gokul; Mr. K. Harj Karthik; Ms. S. Stephina; and Dr. M. Subramanian on May 07, 2026, for Generative Ai System For Sustainable Aircraft Tail Assignment And Flight Scheduling.
Inventors include Mr. N. Venkatesh; Mr. S. Gokul; Mr. K. Harj Karthik; Ms. S. Stephina; and Dr. M. Subramanian.
The application for the patent was published on July 03, 2026, under issue no. 27/2026.
Abstract: Abstract The invention provides a Generative AI decision-support platform for dynamic aircraft tail assignment and flight scheduling that optimizes fuel efficiency and reduces carbon emissions. Traditional static models cannot adapt to real-time variables or predictive maintenance signals, resulting in excess fuel burn and higher C02 output. The proposed system integrates multi-source data (schedules, maintenance logs, sensors, weather) with a fine-tuned LLM that interprets operational intent, a sustainability-scoring optimizer that balances emissions and maintenance penalties, and an LSTM-based predictive maintenance model that forecasts remaining useful life. The engine automatically assigns tails to legs, computes fuel-efficient routes, and generates proactive alerts, delivering results via an interactive web dashboard with AI explanations. Real-time feedback continuously retrains the models. Deployed on cloud infrastructure, the platform achieves measurable reductions in fuel consumption and emissions while improving schedule robustness and fleet utilization. It offers airlines a scalable, regulatory-compliant tool for sustainable operations, bridging the gap between classical optimization and modern Generative Aldriven decision intelligence.
Disclaimer: Curated by HT Syndication.
