Book

“An AI-Powered Intelligent Data Analytics Assistant Using Local LLMs,” a comprehensive analytics platform that enables users to perform data analysis through natural language interaction. The system integrates a locally deployed Large Language Model (DeepSeek-Coder) using Ollama to provide secure and privacy-preserving analytics without transmitting sensitive data to external servers. Users can upload datasets and interact with the platform using simple natural language queries to generate visualizations, summaries, trends and analytical insights. The rapid growth of data across industries has increased the demand for intelligent systems capable of transforming raw information into meaningful insights. Traditional data analytics tools often require technical expertise in programming, database querying, and statistical analysis, making advanced analytics inaccessible to many users. Furthermore, most modern AI-powered analytics solutions rely on cloud-based services, which introduce concerns related to data privacy, security, operational costs, and internet dependency. The system demonstrates how Local LLMs can be effectively leveraged to build secure, cost-effective, scalable, and intelligent analytics solutions capable of supporting modern data-driven environments.