I'm a passionate developer specializing in creating user intuitive web applications. Welcome to my digital-paper portfolio
Explore My SkillsThe Tech Stack
Java
Python
C
Javascript
React
Angular
React-Native
Next JS
Tailwind CSS
Bootstrap
Flask
Spring Boot
Node
Express JS
MySQL
MongoDB
Firebase
Docker
My Projects
Emp-Dashboard
An application deployed to aid human resources and financial managers to monitor and maintain financial and employee data, obtain insights and perform analysis on them. The application is build using Java, Spring Boot and MySQL for the backend services. React, Tailwind CSS are the majorly used frontend frameworks. Smooth lazy loading animations along with reactive UI is employed for the best user experience. The dashboard provides an integrated platform for monitoring and managing both financial and employee data.
Query Base
Mobile application designed to streamline complaint and query management for both clients and administrators. Built using React Native with Expo and integrated with Firebase, the app provides a seamless experience on both Android and iOS platforms. It facilitates efficient communication, tracking, and resolution of user issues
Task Manager
Task Manager is a web application that helps you manage your tasks. It is built with React for the frontend, Tailwind CSS for styling, and MongoDB for backend calls and deployed on AWS Singapore server using Render
Graph Visualizer
A Python application with Tkinter GUI and MySQL connector to maintain, generate and plot explicit mathematical functions on a canvas. Along with built in feedback section using SMTP lib to deliver bugs encountered on various devices. Responsive and interactive graphical user interface
Spoofy
Spoofy is a dynamic web application designed for music enthusiasts who want to discover and download their favorite songs with ease. Leveraging the power of the Spotify API and YouTube API, Spoofy provides a seamless experience for finding and acquiring music based on real-time popularity and relevance.
Hate Speech Detection Model
Tool to spot offensive or inappropriate language in text. This tool will be available through a web server, so users can easily send lines or sentences for quick checks. We’re using logistic regression—a straightforward yet powerful method for classifying text—to ensure our system is both effective and easy to understand. Whether it’s for online communities, social media, or customer feedback, our aim is to offer a dependable solution for keeping text content clean and respectful.