Automated Assignment Assessment System (AAAS) using Language-Transformer

Automated Assignment Assessment System (AAAS) using Language-Transformer

Prof. Arundhati A. Chandorkar, Spandan Marathe, Karan Shardul, Rohit Kuvar

Department of Computer Technology Pune Institute of Computer Technology Pune, India

Abstract—The Smart Assignment Engine is a web-based tool that simplifies assignment management and fosters collaboration among students, teachers, and administrators. Using the power of BERT (Bidirectional Encoder Representations from Transform- ers), this intelligent platform optimizes efficiency across the board by streamlining all areas of assignment administration, from creation and submission to grading and feedback, by utilizing cutting-edge web development technology. The user experience is improved by BERT’s superior natural language understanding and context awareness, which allow for more complex and contextually relevant interactions.

The goals of this research project are to improve educational outcomes, foster collaboration, and rethink assignment manage- ment. Combining smart technology with user-centered design facilitates efficient administrative processes, improves student- teacher communication, and creates a dynamic, participatory learning environment. Additionally, recommendation algorithms powered by data science and reinforced by BERT’s contextual understanding offer customized advice, including individualized video lessons and practical training, with the purpose of maximiz- ing student performance and goal attainment. This study sheds light on the ways in which BERT and Firebase work together to foster innovation in the field of educational technology.

Index Terms—BERT (Bidirectional Encoder Representations from Transformers), Collaboration, Web development technolo- gies, Firebase, Data security, Assignment lifecycle management