Rajalakshmi Engineering College- Chennai

Mentored juniors by teaching complex C++ programming and data structures and algorithms (DSA) concepts and debugging.

Acmegrade- Chennai

Implemented a K-Nearest Neighbors (KNN) model to classify football players into positional roles based on 29 performance and skill metrics, achieving 85% accuracy and reducing the error rate to 15% on the test data.

Northeastern University,Boston

Master’s in Science Computer Science, Khoury College of Computer Science.

Anna University

Bachelor's in Engineering Computer Science Engineering, Rajalakshmi Engineering College

Developed an imageprocessing application utilizing MVC architecture, enabling over 15 advanced image manipulation features, including compression, color correction, and filtering effects.
Successfully implemented a user-friendly GUI that made user interaction efficiency better by 30%, streamlining image editing workflows.

Developed a web application using Flask and SQLAlchemy for tracking train statuses, schedules, and user interactions on the Green Line. Implemented features for user authentication, travel group management, and real-time data fetching from the MBTA API, enhancing user experience and functionality.

Trained a CNN-based model to classify English accents with 92% accuracy using a dataset of 10,000+ audio samples, improving accent recognition and understanding of linguistic diversity in speech processing.
Conducted comprehensive data pre-processing, including noise reduction, feature extraction, and normalization of audio samples, ensuring high-quality input for the model and enhancing its performance and reliability in real-world applications.

Developed a YOLO-based helmet detection model with 95% accuracy, integrated into a Django web app for real-time detection at 30 FPS, improving road safety by monitoring helmet use on a dataset of 20,000+ images.
Integrated it with a cloud-based monitoring using Raspberry Pi3 and an alert system to analyze data from multiple detection points, aiming to reduce road accidents and promote helmet compliance, particularly in high-risk regions.

Engineered an interactive application featuring 3D models of key educational concepts, including the human heart, plant biology, and jet engines, aimed at enhancing engagement and improving the learning experience through immersive visualization.

The project proposes a centralized hospital management app that uses NFC technology to digitize and streamline patient medical records, reducing paper usage. It allows healthcare providers to quickly access vital patient information through NFC cards, improving emergency response and overall patient care.

Authors: S Senthil Pandi, Mithun D, Naresh Kumar A

Presented research on leveraging IoT and learning algorithms to enhance object detection capabilities, with practical applications in smart environments.

Authors: S Senthil Pandi, Mithun D, Kumar P

Published a study on educational augmented reality applications, presented at IEEE, focusing on immersive learning experiences and user engagement improvements.

Authors: S Senthil Pandi, Mithun D, Kumar P , B Mohamed Natheem

Published a study on augmented reality applications in education, presented at IEEE, highlighting innovative uses of immersive technologies to enhance learning outcomes and student engagement. The research demonstrates how AR can be integrated into educational tools to create interactive and dynamic learning experiences that foster deeper understanding and retention.