MUMBAI, India, Aug. 10 -- Intellectual Property India has published a patent application (202641059094 A) filed by Agni College Of Technology on May 09, 2026, for Machine Learning Framework For Real Time Weather Forecasting And Destination Recommendation.
Inventors include Elavarasi R; Kamatchisaranya M; Badrinarayanan Ps; and Vignesh V.
The application for the patent was published on July 31, 2026, under issue no. 31/2026.
Abstract: The increasing demand for accurate weather forecasting and intelligent travel planning has led to the development of advanced machine learning-based solutions. This invention presents a machine learning framework for real-time weather forecasting and destination recommendation. The system collects real-time environmental data such as temperature, humidity, and wind speed from APIs and sensors and processes it using trained machine learning models to predict weather conditions. Based on the predicted weather and user preferences, the system recommends suitable travel destinations, ensuring a personalized and optimized travel experience. Unlike traditional systems, which treat weather forecasting and destination planning separately, the proposed approach integrates both functionalities into a unified framework. The system adapts to real-time changes and provides accurate, dynamic recommendations. The framework can be deployed on web or mobile platforms and integrated with cloud-based services for scalability. It reduces uncertainty in travel planning, enhances user satisfaction, and supports decision-making in tourism and related industries. Additionally, it can assist in agricultural planning by providing reliable weather predictions. Overall, the invention offers an intelligent, efficient, and scalable solution for real-time weather forecasting and destination recommendation.
Disclaimer: Curated by HT Syndication.
