MUMBAI, India, Sept. 28 -- Intellectual Property India has published a patent application (202611111469 A) filed by Karthik Vankamamidi on September 17, 2026, for An Adaptive Distributed System For Context-Aware Data Quality Assessment, Feature Reliability Estimation And Automated Generation Of Model-Ready Datasets.
Inventor includes Karthik Vankamamidi.
The application for the patent was published on September 25, 2026, under issue no. 39/2026.
Abstract: [057] The present invention provides an adaptive distributed data-processing system for context-aware assessment of data quality, estimation of feature reliability and automated generation of model-ready datasets. Distributed processing nodes generate normalized quality evidence objects from heterogeneous data partitions. A dependency and lineage graph represents relationships among sources, transformations, features and dataset versions and propagates quality evidence according to transformation-sensitive rules. A feature reliability engine determines a context-specific reliability representation and associated confidence from direct and propagated evidence. An adaptive controller selects acceptance, repair, reconciliation, substitution, suppression, quarantine or reprocessing according to a machine-readable dataset requirement profile and expected technical effect. A selected action is executed in a candidate state and committed only after post-action validation. The system incrementally recomputes affected dependency regions and publishes a versioned model-ready dataset with a quality manifest binding source fingerprints, reliability evidence, processing actions, validation outcomes and policy versions to a reproducibility identifier. Accompanied Drawing [FIGS. 1-2].
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