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FitFindr is an AI-driven agent designed to help users find suitable secondhand clothing items from a mock marketplace based on their existing wardrobe. The system utilizes Large Language Models (LLMs) to process user queries, analyze wardrobe data, and search through a dataset of secondhand listings to suggest compatible outfits or specific items. It serves as a practical implementation of an AI agent architecture with defined tool usage for data retrieval and outfit generation.