Arjunsiva S

ABOUT ME

✦ I'm an ambitious and driven young man, eager to enhance my knowledge and adopt cutting-edge concepts. I have completed my Bachelor of Engineering degree in Computer Science Engineering (CSE) at Rajalakshmi Institute of Technology (2020 - 2024).

✦ I am always energetic and ambitious to learn new skills & technologies. These qualities help me to get updated and gain more knowledge in the technological field and with Software Engineering as a passion, I am dedicated to develop the skills and knowledge necessary to make a meaningful impact in IT.

✦ I have actively sought out opportunities to enhance my learning including Certifications, Software Projects and Publishing Research Papers. These experiences have equipped me with a solid Software Engineering foundation and cultivated my ability such as Adaptability, Critical Thinking and Problem-Solving.

MY SKILLS

✦ Java ✦ Python ✦ C ✦ Google Apps Script ✦ Android App Development ✦ Front - End Development ✦ SQL ✦ Linux ✦ Cloud Fundamentals ✦ Microsoft Azure ✦ Problem-Solving ✦ Adaptability ✦ Communication ✦ Leadership ✦ Teamwork ✦ Time Management

MY PROJECTS & RESEARCH

✦ Food ERP System

A Food ERP System, which is an mobile application specifically designed for college canteens. The main objective of the project is to simplify the food ordering process and accurately predict the sales for the day.

By utilizing data analytics and predictive modeling this system has achieved accuracy in forecasting sales leading to improved food preparation and shorter queues. This project highlights my work in mobile app development, data analysis, predictive modeling and problem solving skills.

To check out the project in detail click --> here.

✦ Enhancing Internet Learning by using Content Curation and Data Analysis

Content Curation with Web Scraping and Data Analytics introduces a novel methodology, designed to streamline and enhance the learning experience of internet users seeking technology-related courses, studies, lectures, and resources.

The primary objective of this initiative is to address the information fragmentation prevalent across the web by employing advanced web scraping techniques to systematically collect content from diverse sources, then the collected information/data is subsequently processed through a robust analytics pipeline like analyzation and categorization that assesses the relevance, reliability, and quality of each piece of content, allowing for the identification of patterns, trends, and the extraction of valuable insights.

This process enables the creation of a curated repository tailored to the user's search query, ensuring that the presented content is not only comprehensive but also specifically aligned with the user's learning goals.

To check out the project in detail click --> here.

✦ Grok-It with Gemini

I've developed a mobile application capable of recognizing physical or real-world objects through the mobile camera or images stored in the mobile's storage to provide comprehensive information about the objects present in it. This application has been developed using Kotlin, Firebase and Google's Gemini AI 1.5 Flash API. This application is specially developed to participate in Google's Gemini API Developer Competition.

To check out the project in detail click --> here.

✦ Movement Detection Module using Python & OpenCV

I've created a system module that detects movement using Python, OpenCV, Pandas and a webcam. Using OpenCV's image processing features, I developed an application that can track and identify motion in real-time through the webcam. The collected data is then analyzed using Pandas, providing insights into the patterns of detected movement.

✦ Attendance Management System for Working Employees/Staffs

Our team and myself has successfully developed a Attendance Calculation App using Android Studio and Google Apps Scripts. This innovative tool aims to simplify attendance management for college staff by leveraging technologies. Through the app we are able to calculate metrics such, as Sick Leave (SL) Casual Leave (CL) and Loss of Pay (LoP). By handling attendance data this app improves efficiency while ensuring accurate and dependable leave calculations.

✦ A Study of QKD Protocols in Quantum Cryptography for Secure Communication

I have authored a research paper called "Quantum Cryptography" for ensuring secure communication with QKD Protocols. I've submitted it for review at the Second International Conference in 2023 and I'm waiting for it to be published. In this paper I explore the world of Quantum Key Distribution (QKD) protocols and their groundbreaking potential in guaranteeing the level of security for communication.