Database Access for Non-technical Users using ML
Pages : 1243+-1246
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Abstract
This system has been developed to enable secure access of data to a voice-based user interface by enabling voice-based authentication and integration with an existing Natural Language Processing system. We address the question of how to improve the fetching the results from query results. conventional predefined query forms aren’t capable of satisfy diverse advert-hoc queries from users on those databases. Here, we propose a machine learning-based technique to generate the SQL query based on the user’s voice, a novel database query form interface, which can dynamically generate query forms.
Keywords: NLP, Languages and compilers, Optimization, Verification, Voice Recognisation, Machine-independent microcode generation