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This project utilizes the LangChain and Groq to perform various analyses on loan recovery conversations. The primary functionalities include summarizing conversations, identifying key actions or next steps, and undertaking sentiment analysis of both the recovery agent and the borrower.

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shaadclt/Conversation-Analysis-LangChain-Groq

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Conversation Analysis using LangChain and Groq

This project utilizes the LangChain and Groq to perform various analyses on loan recovery conversations. The primary functionalities include summarizing conversations, identifying key actions or next steps, and undertaking sentiment analysis of both the recovery agent and the borrower.

Setup

Set up your environment variables for LANGCHAIN_API_KEY and GROQ_API_KEY. You can do this by retrieving the keys from a secure source and setting them in your environment:

Output

  1. A summary of the conversation.
  2. Identification of key actions or next steps.
  3. Sentiment analysis of both the recovery agent and the borrower.

License

This project is licensed under the MIT License.

About

This project utilizes the LangChain and Groq to perform various analyses on loan recovery conversations. The primary functionalities include summarizing conversations, identifying key actions or next steps, and undertaking sentiment analysis of both the recovery agent and the borrower.

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