A Streamlet based interactive system for LLM assisted SQL generation and chart rendering

The project seeks to create an interactive system that facilitates easy navigation and analysis of data. Instead of requiring the user to write complex queries or having the necessary technical knowledge, the system allows users to interact with data using natural language queries. Users can upload their data and then query it in a simple way, such as comparing, summarizing, or graphing the data. The system will then process the queries and display the data in the form of tables, graphs, or charts.

The project makes data analysis more accessible by allowing users to find patterns, trends, and insights in the data without requiring specialized knowledge. The project bridges the gap between data and meaningful information, allowing organizations and individuals to make informed decisions based on data. The project makes it possible for an intuitive and user-friendly interface to revolutionize the way people interact with data, making it a seamless and interactive process rather than a technical one.