Introduction:
In the era of data-driven decision-making, the ability to quickly and intuitively access and analyze data can significantly enhance an organization's strategic capabilities. Recognizing this, we propose the development of a sophisticated tool that leverages Artificial Intelligence (AI), Natural Language Processing (NLP), and Large Language Models (LLM) to enable intuitive interaction with Oracle databases via natural language queries.
Project Overview:
The core of this project is to develop a tool that can accurately interpret natural language inputs and translate them into structured SQL queries, specifically designed for Oracle databases. This will involve the integration of advanced AI and NLP techniques to ensure a seamless and accurate translation process, accommodating a wide range of user queries from simple data retrievals to complex analytical requests.
To ensure accessibility and user-friendliness, the project will also include the development of a web interface using the MERN stack. This interface will provide a simple, intuitive platform for users to input their queries in natural language and view both the generated SQL commands and the corresponding query results. The interface aims to make data querying as straightforward as typing a question, thereby democratizing access to complex database insights.