Building an Answer Scoring Agent with Lyzr ChatAgent and Streamlit

In the educational landscape, assessing students' answers accurately and efficiently is crucial for effective learning outcomes. To streamline this process, leveraging technology can be immensely beneficial. In this blog post, we'll explore how to build an Answer Scoring Agent using Streamlit, a popular Python framework for building interactive web applications, and Lyzr, a powerful ChatBot tool.

Assessing answers manually can be time-consuming and subjective. By automating this process, educators can save time and ensure more consistent evaluations. 

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