Statistically Speaking

What it does

Statistically Speaking bridge between human intuition and complex datasets, utilizing the capabilities of Large Language Models (LLMs) to democratize data analysis. By providing a natural language interface, users can effortlessly pose intricate queries about their data, without requiring SQL expertise.

Features:
1.Natural Language Querying: Users can interact with the application using plain language, allowing for intuitive exploration of data.
2.LLM-Driven Data Access: The LLM translates natural language queries into SQL statements, efficiently retrieving relevant data from the underlying database.
3.User-Friendly Interface: A visually appealing and intuitive interface enhances the user experience, making data exploration accessible to a wide audience.

We utilized Gemini's Natural language capabilities by asking the model to convert English words into a actual database query. These query will be directly used on the database.
How this works:
We provide the context of the database to LLM to let it know the schema and how data are organized in our database. This will help the LLM to give correct query for our usecase. Then this query can be for our needs.

Future Improvements:
Continuously evaluate and optimize the LLM's performance and accuracy.
Adding additional database support and making it more user friendly to analyze even more data.
Context switch between databases by providing the schema.