Python-based multilingual translation utility agent designed for agent-to-agent workflows, with per-character usage metering.
A modular, multi-agent AI assistant framework orchestrating specialized agents for RAG-based QA, translation, real estate insights, document summarization, and utility tasks. Built with Streamlit and LangGraph for context-aware, multi-turn interactions.
AI Laboratory coursework, demonstrating the practical application of intelligent agent architectures in game environments. The implementations serve as educational resources for understanding the evolution from reactive systems to learning-based artificial intelligence.
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