Year: 2026 | Month: June | Volume: 13 | Issue: 6 | Pages: 37-45
DOI: https://doi.org/10.52403/ijrr.20260605
Similarity Detection System for Assessments
Kadiyala Swathi1, Maka Jaya Narendra Sai1, Mandava Sai Likhitha2, Akunuri Sri Nandini3, Kolusu Naga Swarajya Lakshmi4, Mallavalli Dola Rajendra5
1,2,3,4,5Department of Information Technology,
Dhanekula Institute of Engineering & Technology, Vijayawada, Andhra Pradesh, India.
Corresponding Author: Kadiyala Swathi, Maka Jaya Narendra Sai
ABSTRACT
In an educational environment, it has become increasingly challenging to ensure the originality of students' responses in the use of online platforms for assessment submission. Manual checking of each answer to determine a comparison for similarities takes time and may even lead to inconsistency. A Similarity Detection System for Assessments, that can be considered as the proposed idea is a web-based tool, for instructors to upload an assessment and students to submit their answers typed in and in the designated time to avoid it.
It follows the step-by-step process for the similarity detection method. All submissions made by students are checked for similarity against the already submitted answers for that particular assessment. With the application of Natural Language Processing (NLP) techniques, such as text preprocessing, TF-IDF vectorization and Cosine similarity calculation for better similarity scores, submissions are either accepted, flagged or rejected based on the predefined threshold for similarities. Clear dashboards also help to display similarity percentages and submission status for each assessment.
The system provides equal, timely and automated evaluation of online assessments.
Keywords: Similarity Detection, Digital Assessments, Plagiarism Detection, Natural Language Processing (NLP), TF-IDF, Cosine Similarity, Web-Based Evaluation System, Sequential Comparison, Automated Assessment, Machine Learning
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