Abstract:
Document analysis and summarization are essential skills for students and professionals who need
to deal with enormous amounts of information in their daily life. However, reading and
understanding complex documents can be time consuming and challenging. For tackling this
problem, we proposed an application which can summarize the document and retrieve the relevant
and to the point information from the user query. This application uses the latest technologies such
as [1] Vercel AI SDK, [2] Langchain and Next JS to utilize [3] Large Language Models (LLMs). So,
this can generate the summary, quiz, flashcards and answers from the uploaded document provided
by the user. User can access their knowledge relevant to the document by checking the flashcards
and the quiz module. We tested our application on various documents such as course book, official
reports, and this significantly reduced the time of the assessment of the document by over 70%
while providing accurate and quality summary and answers. We shows that our platform is more
better and faster that the existing methods for the document analysis and document summarizers
by using the [4] Retrieval Augmented Generation (RAG), also everything at one place where this
platform provides most of the tools like notes, flashcards and quiz on the go in just few clicks.