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เผบ RONAK RAJ เผป
Student, NIT KKR
๐จโ๐ป About Me
Hi! I'm Ronak Raj, an IT student at NIT Kurukshetra. I love
building web apps, exploring new tech, and solving real-world
problems. My interests include Software Development, and Machine
Learning.
Thanks for visiting my portfolio!
Thanks for visiting my portfolio!
Core Skills
Frontend
React
JavaScript (ES6+)
HTML
CSS
Tailwind CSS
Responsive Design
Backend
Node.js
Express.js
REST APIs
Database & DevOps
Git & GitHub
MongoDB
SQL
Linux
Programming Languages
JavaScript
Python
C++
Java
Education
NIT Kurukshetra
Bachelor of Technology โ Information Technology
GPA: 8.34
Nov 2022 โ June 2026
SVM School
12th Grade โ Mathematics Stream
90.1%
Apr 2020 โ Mar 2021
SVM School
10th Grade
94.2%
Apr 2018 โ Mar 2019
Languages
English
Fluent
Hindi
Fluent
๐ฌ Newsletter
๐ Interesting Things I Found on Internet
๐ Projects
CodeCompanyWise
Built a fully responsive platform to browse and track progress
for solving company-specific LeetCode problems.
- Consumed RESTful APIs to get questions data from github, used LocalStorage for saving user progress.
- Gained 700+ Active Users and Ranked on Google search using only HTML, CSS, and JavaScript.
HTML
CSS
JavaScript
RESTful APIs
LocalStorage
SEO
CyberWatch - Cybercrime Reporting Dashboard
Smart India Hackathon Project | Created a cybercrime dashboard
using React and Express.js.
- Collected and Stored Data from users related to their cybercrime experience.
- Built and consumed RESTful APIs to visualize security incident analytics.
- Collaborated in a competitive hackathon setting, gaining team development experience.
React
Express.js
RESTful APIs
Data Visualization
Team Development
Inventory Management System
Developed a comprehensive web application for managing item
collections with images.
- Implemented MVC architecture using Express.js backend and MongoDB.
- Designed responsive UI using Pug and integrated Passport.js for authentication.
Express.js
MongoDB
MVC Architecture
Pug
Passport.js
Authentication
Breaking a CAPTCHA System using CNN
Semester Project For Deep Learning
- Automated the generation and labeling of 10,000+ CAPTCHA images from a WordPress plugin to create a supervised ML dataset.
- Developed an OpenCV-based preprocessing pipeline to segment overlapping characters, with logic to split merged blobs.
- Designed and trained a LeNet-style CNN in Keras/TensorFlow achieving 100% character recognition accuracy after 10 epochs.
Python
TensorFlow
Keras
OpenCV
CNN
Deep Learning
Computer Vision
๐ฎ Mini Games
๐ Hall of Fame
๐ Memory Match
๐น Find Totoro
๐ฏ Circle Reaction
โก Speed Clicker
๐ข Guess the Number