About Me
Education
Bachelor of Technology
Information Technology
VSB Engineering College, Karur
CGPA: 8.77/10
2021-2025Senior Secondary (XII)
CS/Maths Stream
Renugadevi Matric Hr Sec School
Percentage: 93.20%
2021Secondary (X)
TN State Board
Renugadevi Matric Hr Sec School
Percentage: 92.60%
2019📜 Certifications
Programming in Java
- I learned the core concepts of Java and how Object-Oriented Programming (OOP) works in real coding.
- This 12-week course gave me confidence to write structured, logical code using Java basics.
Cloud Computing
- This course helped me understand how cloud platforms like AWS and Azure are structured and function.
- I explored different services and deployment models, which made me more confident in backend thinking.
Data Visualization with Power BI
- I learned to build powerful dashboards, use DAX, and make visual insights from raw data.
- This course improved my ability to present data clearly and helped me in analytics projects.
JIRA Project Management
- I explored how Agile workflows and sprints are tracked using JIRA for real project management.
- This helped me manage tasks, track progress, and plan work better in team environments.
CSA - Certified System Architect
- This certification taught me how to build business flows using Pega's low-code features.
- I designed case types and rules that help automate tasks in real-time application building.
CSSA - Certified Senior System Architect
- I learned advanced features like background processing, data pages, and AI-based decisioning in Pega.
- This course upgraded my skills to design complex, scalable systems and better case management logic.
Projects
Auto Mailer
Auto Emailer is a GUI-based Python application built with Tkinter that automates sending personalized bulk emails. It imports recipient details and message templates from CSV files, making it ideal for large-scale email operations. This tool is highly useful for use cases like student report distribution, HR onboarding, marketing campaigns, and event invitations.
View ProjectPersonal Portfolio
Personal Portfolio is a responsive website designed using basic HTML, CSS, JavaScript, and Bootstrap to showcase Durai’s profile and skills. It includes sections like About, Education, Projects, Certifications, Journal Publications, Gallery, Career Showcase, Contact, and Feedback. The smooth transitions, interactive layout, and visually appealing design make it a delightful portfolio experience.
View ProjectTic-Tac-Toe
Tic-Tac-Toe is a classic two-player game recreated in Python using Tkinter, featuring a GUI board, turn indicators, score tracking, and reset functionality. Inspired by my love for simple yet logical games, I developed this with a unique twist — the Durai Style. It was a fun and rewarding experience that reflects both entertainment and logical thinking in coding.
View ProjectLow-Code Projects (Pega)
End-to-end applications developed using App Studio & Dev Studio, showcasing routing, case design, SLA, reporting, and reusable rulesets to automate real-world processes in a low-code environment.
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Recruitment System (CSSA - 2025):
- Designed a multi-stage workflow with dynamic routing and SLA-based approvals for hiring lifecycle.
- Automated correspondence and reporting using decision tables and dashboards for recruiter insights.
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Customer Management – Laptop Service (CSA - 2024):
- Built service request cases with UI forms, role-based assignments, and escalations using SLAs.
- Integrated tracking and reporting rules to monitor service turnaround time and feedback.
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Transport Card Recharge System (CSA - 2024):
- Configured flow-based recharge process using reusable data transforms and validations.
- Enabled routing to agents by request type and created reports to track usage and renewals.
Power BI – Amazon Prime Dashboard
I’ve always been curious about data, and in my free time, I explored Data Analytics using Power BI. I took up a project titled Amazon Prime Dashboard, where I analyzed a dataset from Kaggle to visualize insights like genre distribution, user watch patterns, ratings, and behavior trends. It was an exciting and interactive experience that deepened my skills in Power BI navigation, storytelling with data, and building intuitive dashboards that bring raw numbers to life.
IoT Traffic Monitoring System
In my second year, I proudly built my very first mini project — a simple yet meaningful solution to a real-world problem. Using Raspberry Pi and Bluetooth, I created a smart traffic control system that allowed traffic signals to be managed remotely through a web interface. This project aimed to reduce congestion in cities, and presenting it during the IoT Workshop in 2022 was a truly exciting and memorable experience that sparked my deeper interest in tech innovation.
Insurance System – Mainframe
Medical insurance management built using COBOL, JCL & DB2. Tracks policy holder data and validate to generate policy code for efficient backups,retrieval through batch programs(Mainframe– 2025).
View ProjectMedicine Data Processing System
File-based mini project for processing medicine data using COBOL arrays, reference modification, VSAM, and JCL - SORT utilities. Developed for COBOL learning.
View ProjectJournal Publication
An Efficient Online Attendance Monitoring System Using FaceNet-Based Facial Recognition Technology
📄 IEEE Published
Conference: 2025 3rd International Conference on Artificial Intelligence and Machine Learning Applications (AIMLA)
Published in: IEEE Xplore
Paper Link: View on IEEE Xplore
Guided by: Mr. Vengaimarbhan D and Mrs. Nandhini I (Assistant Professors, Department of IT, VSB Engineering College, Karur)
Team Members: Duraiarasu S, Gobi Krishnaa C, Dhenathayalan S, Bhuvanesh C
📌 Why This Matters
This was my very first research paper, and I'm proud to say it solves a real-world problem that emerged during the online class era—proxy attendance. If you're curious about how AI, face recognition, and engagement tracking come together to fix that, please take a moment to read our paper.
Download and explore it here:
📥 Download IEEE Paper (PDF)🔍 Project Overview
Online classes and remote work increased identity fraud like proxy attendance. To solve this, we built a secure, AI-powered system using facial recognition for reliable and contactless verification.
Our approach combines MTCNN for face detection and FaceNet for facial recognition, ensuring real-time monitoring and active participation detection.
🧠 Key Idea
The system auto-captures a 3-second video when a session begins to verify identity. Throughout the session, it checks head pose, eye gaze, and focus to track real engagement and detect inactivity or proxy attempts.
⚙️ Technology Stack
- Face Detection: MTCNN
- Facial Recognition: FaceNet
- AI Techniques: Deep Metric Learning
- Engagement Analysis: Head Pose Estimation, Eye Gaze Tracking
- Integration: Google Meet, Microsoft Teams, WebEx
Who Is DURAI?
As a young and energetic IT engineer, I'm DURAIARASU, a low-code developer also passionate about coding in Python and Java. Eager to explore corporate opportunities, I'm adaptable to diverse IT roles, aiming to thrive in the dynamic tech world.
With a well-organized personality and keen interest in management skills, I approach challenges with confidence by saying, "Discover the world of endless possibilities and explore new horizons."