Uzma Akhter@Uzmaakhter
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Collaborative Summarizer
Students and researchers face immense digital content, leading to digital eye strain and cognitive overload. The constant strain not only affects health but also hampers comprehension and retention, making efficient reading essential for maintaining productivity and well-being. Our team proudly present you with a powerful text summarization tool designed to condense extensive text into concise summaries, saving you time and enhancing comprehension. We have employed the powerful model of Llama 3 along with the frameworks of Streamlit, torch, PyPDF2 and transformers. It Supports direct text input or PDF uploads for summarization. Our app Utilizes advanced algorithms from Llama 3 to ensure accurate and context-aware summaries. Text summarization tools are gaining traction as essential aids in educational, corporate, and research sectors. Furthermore, the increasing demand for efficient reading tools amongst academics, professionals, and students is expanding its scope. One of the major strengths of our app is that it saves time on reading, supports collaborative learning and work. Weakness is that our text summarizer depends on the quality of input text for optimal output. Expanding usage in educational technologies and corporate knowledge management has increased the scope of our tool. However, High competition with existing summarization and reading assistance tools is a challenge for us to keep improving. One of the major areas of improvement is that the file upload limit is 200MB and we can improve it so that multiple files or zip folders can be uploaded to get the desired result.
