MUMBAI, India, Feb. 13 -- Intellectual Property India has published a patent application (202611000258 A) filed by Dr Mma Faridi; and Dr Sana Iqbal, Lucknow, Uttar Pradesh, on Jan. 2, for 'comprehensive infant and young child feeding assessment system with integrated dietary evaluation protocols (the wify form).'
Inventor(s) include Dr Mma Faridi; and Dr Sana Iqbal.
The application for the patent was published on Feb. 13, under issue no. 07/2026.
According to the abstract released by the Intellectual Property India: "The comprehensive infant and young child feeding assessment system introduces an innovative multi-parameter dietary evaluation framework that integrates temporal feeding protocols with quantitative assessment mechanisms, facilitating real-time nutritional monitoring, dynamic feeding behavior analysis, and robust caregiver evaluation while maintaining seamless healthcare integration and assessment accuracy for consistent pediatric nutritional applications. [510] The integrated nutritional assessment framework employs adaptive dietary algorithms and intuitive evaluation protocols, utilizing embedded temporal tracking arrays and hygiene-monitoring calculation systems to ensure timely feeding identification, enhanced nutritional understanding, and optimal feeding practice reliability while maintaining continuous behavioral monitoring capabilities. [515] The comprehensive methodology combines multi-dimensional feeding assessment techniques with healthcare-driven pattern recognition systems, leveraging variable-precision temporal signals and multi-factor dietary indicators to optimize evaluation procedures and assessment workflows for maximum nutritional accuracy and minimal evaluation uncertainty during critical pediatric healthcare applications. [520] The novel responsive dietary architecture features engineered high-precision assessment components with specialized feeding fingerprinting protocols, enabling complex multi-stage nutritional verification while ensuring assessment consistency and performance optimization across various healthcare instruments without compromising system reliability. [525] The innovative design incorporates strategic validation mechanisms for enhanced feeding identification and nutritional security, utilizing optimized multi-function systems and adaptive assessment technology to ensure legitimate dietary assignment while maintaining functionality across diverse healthcare environments and feeding scenarios. [530] Implementation methodology emphasizes scalable nutritional integration and efficient assessment sequences, implementing interactive monitoring measures and pattern recognition algorithms to achieve superior dietary determination, enhanced feeding identification, and unauthorized assessment prevention while ensuring technological simplicity during healthcare monitoring. [535] The system demonstrates exceptional adaptability through comprehensive integration of feeding identification protocols and intelligent assessment technologies, validating its effectiveness across various multifunctional dietary configurations and healthcare scenarios while maintaining consistent evaluation performance and operational efficiency under diverse conditions. [540] The developed framework enables sustainable and reliable assessment of infant feeding practices through streamlined, AI-powered monitoring systems, providing significant advantages over traditional dietary approaches through variable validation mechanisms, adaptive identification protocols, and improved nutritional assignment while maintaining superior assessment accuracy during critical pediatric healthcare procedures."
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