Browsing by Author "Muhammad Junaid Iqbal"

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    InnovatED
    (Library Information Services, CUI Lahore, 2024) Muhammad Junaid Iqbal; SP20-BCS-147/; Dr. Farooq Ahmad
    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.