MUMBAI, India, Feb. 13 -- Intellectual Property India has published a patent application (202641007464 A) filed by Dharsana Dharani VG, Chennai, Tamil Nadu, on Jan. 26, for 'autoqueryviz: ai-based mongodb query generator and visual analytics for sensor applications.'
Inventor(s) include Yogitha N; Dharsana Dharani VG; and Dharanika S.
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: "Sensor-based applications generate massive volumes of heterogeneous data at varying scales, making efficient data querying and retrieval a critical challenge. In such environments, constructing queries in NoSQL databases like MongoDB requires substantial technical expertise in query syntax, which often places these systems beyond the reach of non-technical users. To address this limitation, this paper presents SmartQueryViz, a novel AI-driven application developed using the Groq Cloud Large Language Model (LLM) LLaMA-3.3-70B-Versatile. The proposed system bridges the gap between natural language queries and MongoDB by automatically translating user-provided natural language inputs into valid MongoDB queries. Furthermore, the retrieved results are presented through interactive visualizations generated using Pandas and Plotly, enhancing data interpretability and user experience. Experimental evaluations demonstrate that the proposed model achieves an accuracy of 98.79% across a diverse set of queries expressed in multiple natural languages and varying linguistic forms, highlighting its robustness and effectiveness."
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