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