Machine Learning-Powered Voice-based SQL Querying System

We designed this system to allow safe and efficient access to data via a voicecontrolled interface, incorporating speech-based user verification and smooth alignment with a pre-existing NLP framework. We explore techniques to improve the retrieval process from query outputs. Traditional fixed query structures are inadequate for handling various ad-hoc user searches within databases. In this work, we propose a machine learning-driven method for generating SQL queries based on voice commands, along with an advanced interface for dynamically creating database query forms.