Berkeley, California, United States
• Utilized Llama 3.2 and DeepSeek R1 to interpret natural language queries, enabling the system to extract essential parameters from user input and convert them into structured data that can be processed further.
• Refined the query inputs by prompting the user for additional details whenever generic or incomplete information was detected, ensuring that each query was sufficiently precise for accurate downstream processing.
• Integrated multiple AI tools and web search capabilities using LangChain to build a cohesive AI agent that seamlessly combines real-time data retrieval with advanced processing techniques to deliver comprehensive insights.