Smart FYP Bank

Abstract

Consistently, a lot of students use different websites and libraries to find already implemented projects and check supervisors. In this work, I fostered a PC-based completely computerized framework to recognize the previously implemented projects. Late work in the field of NLP techniques has shown huge advancement in the space of item query-related projects. I have developed a Python-based application system using the latest NLP and NLTK libraries, so students can get more accurate results and work. This system will help both students as well as teachers during the final year of students. Students can easily search for the already completed projects with respect to their domains, departments, supervisor, and the year of completion. Applying this application at our university will be highly beneficial and save precious time for students as well as supervisors. Moreover, my proposed system can likewise be carried out in top-of-the-line universities and departments to use for final-year projects.