Intellectual Property India Publishes Patent Application for 'Real-Time Need Prediction In Humanitarian Aid Using Machine Learning - A Practical Review And Adaptation For Ngo Donation Platforms' Filed by Dayananda Sagar Academy Of Technology And Management; Dr. Deepa Mathew K; A A Deeksha; Adithya Swamyaar; Preetham V S; and Sagar D R

MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641049769 A) filed by Dayananda Sagar Academy Of Technology And Management; Dr. Deepa Mathew K; A A Deeksha; Adithya Swamyaar; Preetham V S; and Sagar D R, Bangalore, Karnataka, on April 19, for 'real-time need prediction in humanitarian aid using machine learning - a practical review and adaptation for ngo donation platforms.'

Inventor(s) include Dayananda Sagar Academy Technology And Management; Dr. Deepa Mathew K; A A Deeksha; Adithya Swamyaar; Preetham V S; and Sagar D R.

The application for the patent was published on May 1, under issue no. 18/2026.

According to the abstract released by the Intellectual Property India: "Real-Time Need Prediction in Humanitarian Aid Using Machine Learning - A Practical Review and Adaptation for NGO Donation Platforms The invention relates to an AI-powered system designed to predict real-time NGO needs and streamline humanitarian aid distribution by analyzing historical donation patterns, real-time NGO data, and donor behaviour using machine learning techniques. The system comprises: a data acquisition module (101), a data preprocessing unit (102), a machine learning prediction engine (103) for shortage forecasting, a donor-NGO matching module (104), an NLP-based chatbot interface (105) for donor assistance, a QR code generation and verification module (106) for authenticated delivery confirmation, an anomaly detection component (107) employing Isolation Forest and One-Class SVM for fraud prevention, and a real-time cloud database (108) for synchronization of all donation records. The present invention ensures accurate prediction of resource shortages, transparent and authenticated donation delivery, automated donor guidance through intelligent NLP-based suggestions, and enhanced security against fraudulent activities - resulting in an efficient, reliable, and data-driven humanitarian aid management platform that significantly advances the state of the art in NGO resource allocation and donation ecosystem integrity."

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