Comparative Study and Framework for Automated Summariser Evaluation:
  LangChain and Hybrid Algorithms
Bagiya Lakshmi S Sanjjushri Varshini R Rohith Mahadevan Raja CSP Raman
Automated Essay Score (AES) is proven to be one of the cutting-edge
technologies. Scoring techniques are used for various purposes. Reliable scores
are calculated based on influential variables. Such variables can be computed
by different methods based on the domain. The research is concentrated on the
user's understanding of a given topic. The analysis is based on a scoring index
by using Large Language Models. The user can then compare and contrast the
understanding of a topic that they recently learned. The results are then
contributed towards learning analytics and progression is made for enhancing
the learning ability. In this research, the focus is on summarizing a PDF
document and gauging a user's understanding of its content. The process
involves utilizing a Langchain tool to summarize the PDF and extract the
essential information. By employing this technique, the research aims to
determine how well the user comprehends the summarized content.