Intellectual Property India Publishes Patent Application for 'A System And Method For Early Diabetes Prediction And Personalized Diet Recommendation Using Bio-Inspired Optimization Techniques' Filed by Harsh Khatter; Anjali Jain; and Alka Singhal

MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202611048264 A) filed by Harsh Khatter; Anjali Jain; and Alka Singhal, Modinagar, Uttar Pradesh, on April 15, for 'a system and method for early diabetes prediction and personalized diet recommendation using bio-inspired optimization techniques.'

Inventor(s) include Anjali Jain; Alka Singhal; and Harsh Khatter.

The application for the patent was published on May 29, under issue no. 22/2026.

According to the abstract released by the Intellectual Property India: "The present invention relates to a system and method for early diabetes prediction and personalized diet recommendation using machine learning and bio-inspired optimization techniques. The system employs SMOTE for data balancing, ensemble learning for classification, and Bat Algorithm for hyperparameter optimization. Based on BMI and BMR, personalized diet plans are generated. The proposed system achieves improved accuracy up to 98%, enabling efficient and early detection of diabetes along with tailored dietary guidance."

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