Automated Essay Scoring System

Tarangini Dwivedi , Sejal Jadhav , Nandana Nambiar , Neeti Jample , Payal Nikam

Automated Essay Scoring, LSTM, NLP, Machine Learning, Deep Learning.

This project is all about creating an Automated Essay Scoring system. With Natural Language Processing tools like tokenization and Word2Vec, the system checks essays for grammar, vocabulary, coherence, and relevance. We created a web app with Flask. Students can upload their essays and get feedback right away. We use an LSTM model to figure out how the essays are structured. To see how well the system works, we checked the predicted essay scores from different machine learning models using the Mean Squared Error. In the future, we may add support for more languages and connect it to larger academic systems.

Published Paper   E-Certificate

"Automated Essay Scoring System", TIJER - TIJER - INTERNATIONAL RESEARCH JOURNAL (www.TIJER.org), ISSN:2349-9249, Vol.12, Issue 4, page no.a469-a480, April-2025, Available :https://tijer.org/TIJER/papers/TIJER2504069.pdf

Volume 12 Issue 4, April-2025

Pages : a469-a480

Paper Reg. ID: TIJER_157418

Published Paper Id: TIJER2504069

Downloads: 000310

Research Area: Science and Technology

Country: Pune, Maharashtra, India

Published Paper PDF: https://tijer.org/TIJER/papers/TIJER2504069

Published Paper URL: https://tijer.org/TIJER/viewpaperforall?paper=TIJER2504069

ISSN: 2349-9249 | IMPACT FACTOR: 8.57 Calculated By Google Scholar | ESTD YEAR: 2014

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.57 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: TIJER (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition