Kevin Suvarna is a student at Sardar Patel Institute of Technology in India. He has a strong interest in artificial intelligence, natural language processing (NLP), and machine learning. Through technical projects and competitions, he has explored how these technologies can solve practical problems.
Projects in Natural Language Processing and Machine Learning
Kevin developed a source code plagiarism checker using natural language processing and machine learning techniques. The tool uses Term Frequency-Inverse Document Frequency (TF-IDF) and cosine similarity to compare source code submissions.
In addition, Kevin incorporated the K-Nearest Neighbors (KNN) algorithm to cluster submissions containing similar code. This approach helped instructors identify patterns of potential academic misconduct more efficiently. Through this project, Kevin explored how machine learning can support academic integrity and streamline the review of student submissions.
Achievements in Machine Learning Competitions
Beyond his individual projects, Kevin has tested his technical skills in competitive environments. He participated in the Amazon ML Challenge hackathon, where he competed against 500 teams.
His team secured a place in the top 50, demonstrating its ability to apply machine learning concepts to practical challenges. This experience also gave Kevin an opportunity to develop his problem-solving skills and work with emerging technologies.
Kevin’s experiences reflect his interest in applying artificial intelligence to real-world problems. Moreover, his plagiarism detection project demonstrates how NLP and machine learning can support educational institutions. Through independent development and competitions, he continues to explore the practical applications of intelligent systems.
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