This project demonstrates a solution for processing customer support chat data to extract critical details such as:
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Customer Name 🧑💼📋
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Order ID 🛒🔢
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Customer Email 📧💬
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Support Representative Name 🧑💻🤝
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Customer Sentiment 😊💔
The extracted information is systematically stored in an SQL database 🗄️, enabling efficient data management and retrieval. Additionally, a Large Language Model (LLM) 🤖 is employed to analyze the stored data and provide valuable insights based on user queries 🔍📈.