The sustainabilitySustainability of advanced technologies depends on the consistent availability of key raw materialsRaw materials. To better understand the availability and risks associated with these materials, we have developed an offline platform that runs locally on a machine, providing AI-driven data analytics and visualization without requiring an Internet connection. Utilizing tools such as Retrieval-Augmented Generation (RAGRetrieval-Augmented Generation (RAG)) with Large Language ModelsLarge Language Model (LLM) (LLMsLarge Language Model (LLM)) and incorporating geographic visualizations, the platform offers a detailed analysis of material availability and market concentration. It integrates data from the United States Geological Survey (USGSUnited States Geological Survey (USGS)) mineral commodity summaries, delivering comprehensive insights into production, reserves, trends, prices, substitutes, and recyclingRecycling resources. This study focuses on critical materialsCritical materials for energy storageEnergy storage and thermoelectric applications, including lithiumLithium, cobalt, nickel, bismuth, tellurium, and rare earth elementsRare earth elements, which are essential for renewable energy systems and modern technologies. The platform enables researchers and policymakers to visualize trends and assess potential risks, supporting informed decision-making and strategic planning to address material scarcity and supply chain vulnerabilities.