About Me
I'm a Final year Student at Sri Sairam Engineering College, Chennai. I'm currently Pursuing B.E. Computer Science Engineering student specializing in Artificial Intelligence and Machine Learning with CGPA - 9.23. With a strong passion for innovation and problem-solving, I'm on a mission to bridge the world of ML, DL, and modern web technologies, constantly exploring how intelligent systems can be brought to life through full-stack development.
During my internship at Zero Solutions, I honed my skills in UI/UX design and front-end development, creating responsive and performance-optimized web applications. Later, at Muscle Magic, I took a deeper dive into the realm of ML and DL, developing real-time admin tools and intelligent models that improved system efficiency and automated critical processes. These diverse experiences have given me a well-rounded foundation and the ability to move seamlessly between design, development, and AI engineering.
I'm currently sharpening my skills in the MERN stack and Deep Learning, pushing myself to build scalable applications that not only function well but also adapt intelligently. Every project I take on is an opportunity to learn, grow, and test the boundaries of what technology can do — from healthcare solutions to smart transportation systems.
When I'm not coding, you can find me exploring the latest tech trends, contributing to open-source projects, or engaging with the vibrant AI community. I believe in the power of collaboration and am always eager to connect with like-minded individuals who share a passion for technology and innovation.
Outside of tech, I actively serve as the Secretary of the IEEE EMBS Society at my college, where I lead and organize impactful events combining healthcare and technology. Balancing logic with creativity, I'm also recognized for my artistic skills, which I believe bring a unique perspective to both design thinking and user-centric development. Let's connect and explore how we can leverage AI and web technologies to create impactful solutions that make a difference in the world.
My Journey in Pictures
My Skills
Programming Languages
Web Development
AI/ML & Deep Learning
Other Skills
My Projects
Safe Journey AI
Computer VisionSafeJourney-AI is an advanced driver drowsiness detection and road-safety enhancement system that leverages cutting-edge machine learning and deep learning techniques. By continuously analyzing real-time in-car camera feeds, including facial landmarks and EAR/MAR metrics, it reliably identifies signs of fatigue. With a swift response time—up to 5.5x faster than conventional systems—SafeJourney-AI achieves impressive accuracy rates of 93.16% in daylight and 87.3% at night.
Technologies Used
Health Guard AI
Deep Learning, NLPHealthGuard AI is an intelligent healthcare assistant built to analyze early-stage symptoms and medical images for preliminary risk assessment. It combines powerful NLP techniques with CNN-based diagnostic models to deliver accurate and fast responses, making AI-driven preventive care more accessible to everyone.
Technologies Used
Automatic Fee Remainder System
Intern ProjectMuscleMagic is a web-based gym management platform built during an internship to simplify member handling, fee tracking, and automated notifications. Developed using Python with Flask and Firebase Firestore, it enables admins to view, add, and manage members, and send both manual and scheduled fee reminders through a responsive web interface. The platform is currently being enhanced with dashboards, AI analytics, and deployment support for real-world scalability.
Technologies Used
AuraLink
Intercom DeviceDeveloped as part of Smart India Hackathon 2024 (PS ID: SIH1578), AuraLink is a cost-effective, accessible intercom system designed to assist Deaf individuals through real-time video communication. Built on Raspberry Pi, the device enables wireless room-to-room video calls using IEEE 802.11 standards—without the need for the internet.
Technologies Used
Disaster Detection & Management AI
Deep LearningThis project utilizes deep learning to analyze satellite imagery and accurately detect natural disasters such as floods, wildfires, and landslides. Achieving an accuracy of 89.7%, the model empowers emergency response teams by delivering real-time alerts, enabling faster decision-making and minimizing damage during critical events.
Technologies Used
GPA Calculator
Web DevelopmentA responsive, web-based GPA calculator built to help students effortlessly compute their GPA on a 10-point scale. Users can dynamically add course categories (theory, lab, etc.), input grades, and view real-time GPA results.
Technologies Used
My Hackathon Journey
Smart India Hackathon 2024
Our team clinched victory in the Smart India Hackathon 2024, organized by the Ministry of Social Justice and Empowerment, by solving Problem Statement PS1578. We developed AuraLink, an internet-free video call intercom system tailored for the deaf community, demonstrating both innovation and real-world impact in assistive technology.
IEEE India Council Hack 2.0
Secured 2nd place in IC Hack 2.0, hosted by the IEEE India Council, as a member of Team BYTE STORM. Developed advanced driver drowsiness detection and road-safety enhancement system, SafeJourney-AI, which utilizes real-time facial analysis to ensure driver alertness and safety.
DataSprint Hackathon
Secured 3rd place in the 24-hour DataSprint Hackathon, where our team "MediTech Mavericks" developed HealthGuard AI—an intelligent health assistant capable of early disease prediction and multilingual chatbot support. The project combined NLP and image-based deep learning models, delivering a scalable solution that impressed judges with its real-world applicability and technical depth.
Publications
Smart Healthcare Assistant with Epidemiological Modelling, Published in the 2024 at IEEE ICPECTS Conference. Proposed an AI-powered assistant integrating epidemiological modeling for proactive disease prediction and prevention.
Competitive Programming
Portfolio Analytics
Technology Usage
Project Categories
My Resume
Here's a comprehensive overview of my professional experience, skills, and education.
Download Resume (PDF)Work Experience
ML & Web Development Intern
Jun 2024- Built ML models (90 %+ accuracy) to automate fee prediction and reminders, cutting manual workload by 70 %
- Created real-time admin tools and Firestore sync for seamless user & payment management
Web Application Design Intern
Aug 2023- Led responsive front-end build (HTML, CSS, JS) achieving perfect Lighthouse performance & accessibility scores
- Boosted page speed by 40 % and improved UX with Figma-driven design