(2023 - Present)
Aspiring Developer
Currently focusing on learning and building projects
constcoder={name:'Aaditya Kumar',skills:['React', 'PostgreSQL', 'Express', 'MySql', 'Node.js', 'MongoDB', 'AWS'],Projects:['College ERP', 'Malware Detetction', 'Facial Recognitions based Attendance Management', 'Student Guidance App'],);};};Who I am?
I'm a passionate B.E. CSE student at Chitkara University with a strong focus on web development. I'm a quick learner with a self-learning attitude who loves exploring new technologies and solving problems. I enjoy building interactive web applications and creating beautiful user experiences. As a fresher, I'm eager to apply my skills in real-world projects and grow as a developer.
Experiences
Skills
PROJECTS
College ERP System
constproject={name:'College ERP System',tools: ['React', 'Node.js', 'Express', 'MongoDB', 'JavaScript],myRole:Full Stack Developer,Description: A comprehensive MERN Stack College Management System built to streamline college operations. The system handles student management, course scheduling, attendance tracking, and academic records. Built with React, Node.js, Express, and MongoDB for a robust and scalable solution.,};RFQ Auction System
constproject={name:'RFQ Auction System',tools: ['React', 'Node.js', 'Express', 'PostgreSQL', 'JavaScript],myRole:Full Stack Developer,Description: A modern web application for managing Request for Quote (RFQ) auctions using a British auction model. British Auction styled mechanism where Buyers can solicit quotes from multiple sellers and conduct real-time auctions to find the best pricing,};Malware Detection and Analysis
constproject={name:'Malware Detection and Analysis',tools: ['Python', 'Machine Learning', 'Jupyter Notebook', 'Scikit-learn],myRole:Python Developer,Description: Malware Detection and Analysis using Machine Learning (MDAML) is designed to provide users with an intuitive interface for analyzing and detecting malware in various file formats. Built with Python and Jupyter Notebook, this system uses advanced machine learning algorithms to identify and classify malware patterns efficiently.,};Facial Recognition Attendance System
constproject={name:'Facial Recognition Attendance System',tools: ['Python', 'Flask', 'OpenCV', 'Face Recognition', 'HTML', 'CSS],myRole:Python Developer,Description: A Face Recognition–based Attendance System built using Python and Flask. It allows users to register faces and automatically detect and mark attendance through a web interface. Features real-time face detection, recognition, and automated attendance marking with a user-friendly dashboard.,};Educations
2023 - 2027
Bachelor of Engineering in Computer Science
Chitkara University
2022
Senior Secondary (12th)
Jawahar Navodaya Vidhyalaya, Rudrapur, U.S. Nagar
2020
Secondary (10th)
Jawahar Navodaya Vidhyalaya, Rudrapur, U.S. Nagar