MUMBAI, India, Jan. 23 -- Intellectual Property India has published a patent application (202631000207 A) filed by Kalinga Institute Of Industrial Technology, Bhubaneswar, Orissa, on Jan. 2, 2026, for 'artificial intelligence-based prediction systems for weather forecasting.'
Inventor(s) include Ray, Niranjan Kumar; Mallick, Bishnupriya; and Mantri, Jibendu K.
The application for the patent was published on Jan. 23, under issue no. 04/2026.
According to the abstract released by the Intellectual Property India: "An AI-enabled rainfall level prediction framework (100) for drought and flood indication comprising a weather dataset (101) with climatic parameters including precipitation, sea level pressure, temperature, humidity, dew point, wind speed, and rainfall data, a preprocessing module (102) for categorizing rainfall data into distinct levels comprising low rainfall (LR), medium rainfall (MR), heavy rainfall (HR), and very heavy rainfall (VHR), a Random Forest model (103) for selecting relevant weather parameters by calculating feature importance scores, a Fuzzy Rough Set Theory model (104) for identifying more influencing features through super reduct generation and selecting consistent instances to create training data (105), and an Artificial Neural Network model (106) for performing classification-based prediction of rainfall levels. The framework (100) receives test data (108) through a prediction output module (107) for forecasting future rainfall levels to identify drought events corresponding to LR status and flood events corresponding to VHR status."
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