Our project is a web application that leverages a fine-tuned LLaMA-2 model to translate natural language queries into SQL commands. This innovative solution enables users to input queries in plain language, which are then converted into SQL and executed to retrieve data from selected or uploaded tables. The application simplifies database interaction by providing an intuitive interface that eliminates the need for SQL knowledge, making data access more accessible and efficient for non-technical users. The integration of advanced model fine-tuning techniques and a user-friendly web interface ensures accurate and reliable data retrieval.