AI powered efficient text file analysis and intelligent Q&A automation
Vishal Sarup Mathur, Pawan Singh · 2025
This study shows how artificial intelligence (AI) may automate and streamline literary text analysis in educational contexts, lowering the amount of labor usually needed for such jobs. The project, “AI-Powered Efficient Text File Analysis and Intelligent Q&A Automation,” automatically analyzes text files and generates intelligent Q&A for English literature using sophisticated language models. Each of the SQuAD-formatted stories and poems in the dataset, which are based on ICSE curriculum texts for classes 11 and 12, has at least five comprehension and in-depth analysis questions. The RoBERTa and DistilBERT models from Hugging Face showed promising results in both basic and inferential questions after being refined on this dataset to take into consideration the subtleties of literary language.