AI Based Essay Analysis System

Authors: Manish Raj Pandey, Ranjeet Kumar, Shashank Singh, Abhishek Chauhan, Dr. Yashveer Singh

Abstract: — In the digital age, students and educators face increasing difficulty in evaluating written content efficiently, as a massive amount of essays, assignments, and reports are produced every day. It is becoming more challenging to review each document manually and extract meaningful insights due to the growing volume of academic writing. As a result, there is a rising demand for automated systems that can analyze essays quickly and accurately, helping users understand key points without spending excessive time and effort. The goal of this project is to present a comprehensive study of modern techniques and tools used for AI-based essay analysis. We aim to explore different approaches, ranging from basic rule-based methods to advanced machine learning and deep learning models, and discuss their strengths, limitations, and possible applications. By evaluating and comparing stateofthe-art techniques, we aim to highlight current trends and challenges in this domain, offering valuable insights for future development. In summary, this project provides an in-depth review of advanced methods for automated essay evaluation, focusing on grammar checking, coherence detection, sentiment understanding, and scoring. Our objective is to enhance awareness of the opportunities and challenges in automated essay analysis and inspire further research and innovation, enabling students, educators, and institutions to evaluate written content more effectively and efficiently.

DOI: https://doi.org/10.5281/zenodo.20426074