NL to SQL by using AI/NLP and LLM
Budget: ₹37,500 – ₹75,000 INR
This project is centered on creating an advanced tool that integrates AI, NLP, and Large Language Models (LLM) to seamlessly translate natural language queries into SQL commands, specifically tailored for Oracle databases. The objective is to simplify database interactions for users who lack SQL expertise, enabling them to execute complex data retrieval tasks through simple language prompts. This conversion process involves sophisticated language understanding algorithms to ensure accurate interpretation of user intents into precise database queries.
To complement this functionality, the project will also develop a web interface using the MERN stack—MongoDB for the database, Express.js and Node.js for the backend, and React for the frontend. This interface is designed to be intuitive, allowing users to input queries in natural language and receive immediate feedback in the form of SQL translations and query results. This setup aims to democratize data access, making it more accessible and actionable for decision-making processes within organizations, ultimately enhancing business intelligence operations and strategic planning.
To complement this functionality, the project will also develop a web interface using the MERN stack—MongoDB for the database, Express.js and Node.js for the backend, and React for the frontend. This interface is designed to be intuitive, allowing users to input queries in natural language and receive immediate feedback in the form of SQL translations and query results. This setup aims to democratize data access, making it more accessible and actionable for decision-making processes within organizations, ultimately enhancing business intelligence operations and strategic planning.