Automated Student Document Analysis and Query System Using OCR and Conversational AI

Authors

  • Karnakoti Nandini Department of Artificial Intelligence and Data Science, Vardhaman College of Engineering, Hyderabad, Telangana, India. Author
  • Katkuri Balram Department of Artificial Intelligence and Data Science, Vardhaman College of Engineering, Hyderabad, Telangana, India. Author
  • Sivakala Kiran Kumar Department of Artificial Intelligence and Data Science, Vardhaman College of Engineering, Hyderabad, Telangana, India. Author
  • Gagandeep Arora Department of Artificial Intelligence and Data Science, Vardhaman College of Engineering, Hyderabad, Telangana, India. Author
  • Popuri Ramesh Babu Department of Computer Science and Engineering, Malineni Lakshmaiah Women's Engineering College, Pulladigunta, India. Author

Keywords:

Optical character recognition (OCR), Conversational AI, Gemini AI, Bilingual Summarization, Legal and Academic Documents, Information Retrieval, Educational Document Management.

Abstract

Today’s educational requirements often involve analysing legal and academic documents, a tedious task. These documents, especially, contain lengthy content that people may fail to read or even understand due to language barriers and their complexity. For educational institutions, it may take a long time to manually parse documents. Even for non-literate or non-native English speakers, they are not aware of the structure or content of the files. To address these problems, we proposed a solution to save time. This project primarily focused on the education sector and developed an Automated Student Analysis and Query System that combines Optical Character Recognition and Conversational AI. It produces text summaries in both Telugu and English. Once a document or file is uploaded into the system, it is processed through Gemini AI. Users can ask the chatbot questions to get instant answers. This approach showcases how we can reduce manual efforts.

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Published

13-03-2026

Conference Proceedings Volume

Section

Articles

How to Cite

Nandini, K. ., Balram, . K. ., Kumar, S. K. ., Arora, G. ., & Babu, P. R. . (2026). Automated Student Document Analysis and Query System Using OCR and Conversational AI. DMPedia Lecture Notes in Computer Science & Engineering, IMPACT26, 358-366. https://digitalmanuscriptpedia.com/conferences/index.php/DMP-LNCSE/article/view/141