Discover my skills, projects, and achievements. With expertise in Computer and Communication Engineering, I specialize in software development, IoT, and cloud technologies, driven by a passion for problem-solving and innovation.
I am a Computer and Communication Engineer with a strong foundation in C, Python, and front-end development. I excel in team-based problem-solving and have a unique blend of analytical and creative thinking that enables effective troubleshooting. My experience in software development, coupled with my commitment to continuous learning, drives me to contribute meaningfully within an organization and advance my domain expertise.
A campus navigation system that uses GPS and onboard sensors for autonomous driving, allowing visitors to easily select their destination via a touchscreen.
This project involves designing an autonomous vehicle system equipped with GPS and sensors to navigate the campus. The vehicle features a touchscreen interface and can be manually controlled through a web app.
A prepaid energy meter system that allows users to track and manage energy consumption with real-time calculations based on current and voltage sensors.
This smart energy meter calculates energy consumption in real time using voltage and current sensors, providing users with detailed insights into their usage. The system is prepaid, ensuring that users can monitor and control their energy usage.
A friendly Discord bot designed to provide emotional support and share positivity with users. Whether you need a bit of inspiration, a boost of encouragement, or some mood-elevating music.
This project is a mental wellness and mood-lifting Discord bot that interacts with users based on the mood keywords it detects in messages. It can recognize words associated with emotions like sadness, happiness, and love, responding with encouraging messages or suggesting music to match the user’s mood. Additionally, the bot provides inspirational quotes from an API and responds to greetings with friendly messages. It operates using secure environment variables and includes a function to keep the bot online continuously. This project creates a supportive, interactive companion for users on Discord.
This research develops a machine learning model to detect routing attacks in RPL networks, including new threats. It uses network traffic data to demonstrate accuracy and resilience against diverse attack forms, enhancing overall network security.
In this project, you focused on enhancing IoT network security by developing machine learning models to detect and resist routing attacks within RPL-based IoT networks. Through simulation using NetSim, you generated a dataset representing various types of routing attacks, including sinkhole and blackhole attacks. The ML models, particularly Random Forest and Support Vector Machine, demonstrated a high accuracy rate of 96%, effectively identifying and mitigating potential network vulnerabilities. This project showcases your ability to apply ML-based solutions to secure IoT networks and improve their reliability.
This project mainly focuses on predicting the life expectancy of a person using ML algorithms in Python.
This project leverages machine learning to predict life expectancy, assisting policymakers and health organizations in making data-driven decisions. Using a dataset from the WHO with over 20 features, including economic, lifestyle, and healthcare factors, we applied multiple machine learning algorithms—Linear Regression, Random Forest, Decision Tree, and Ridge Regression. Among these, Random Forest provided the best accuracy at 95%, identifying key patterns and risk factors linked to life expectancy. Exploratory Data Analysis (EDA) tools, such as heatmaps and scatter plots, were utilized to understand relationships in the data, providing a robust basis for predictive modeling.
Utilizing an RFID-based system for attendance tracking in educational institutions, this project aims to simplify the attendance process.
This smart attendance system automates the attendance tracking process using RFID technology. Students are issued RFID cards, which they tap on a reader to register their attendance. The system records attendance in real-time, reducing manual effort and errors. The data is stored in a centralized database, allowing for easy retrieval and reporting. This project aims to streamline the attendance process, making it efficient and reliable for educational institutions.
An intelligent robot equipped with autonomous navigation through dynamic environments.
Summary: The Star Explorer project implements a grid-based pathfinding robot that detects obstacles and calculates the shortest path to a destination. Using randomized obstacle generation within a matrix, the robot's algorithm assigns path markers to navigate the grid. The robot checks adjacent cells for obstacles, updating its position and recalculating routes as needed, allowing it to find a clear and efficient route to its target. The project’s modular code structure ensures easy configuration of grid size, obstacle placement, and robot movement parameters.
Institution: Amrita Vishwa Vidyapeetham, Coimbatore
Expected Graduation Date: May 2025
Major: Computer and Communication Engineering
Relevant Coursework: Data Structures and Algorithms, Networking, Embedded Systems
CGPA: 7.61/10
Institution: Saratha International School, Gobichettipalayam
Completion Date: 2021
Focus Area: Computer Science, Mathematics, Physics, Chemistry
Mark: 458/500
Institution: Saratha International School, Gobichettipalayam
Completion Date: 2019
Focus Area: Computer Science, Mathematics, Physics, Chemistry
Mark: 412/500
I gained proficiency in Python through formal education and practical experience in various projects such as developing automation scripts, web apps, and data analysis tools.
I have practiced several queries on Leetcode.
I completed certification and worked on several projects which improved my skills in this area.
I have hands-on experience by doing projects.
I completed AWS certification and worked on several cloud-based applications focusing on AWS EC2, S3, and scaling virtual environments.
I've explored this area through a dedicated project involving security measures for IoT networks.
Through academic projects and real-world applications, I've gained valuable experience in software development.
I have a strong analytical mindset and enjoy tackling challenging problems in various domains.