Hello, I'm
A passionate Next web developer based in Gurugram, Haryana. I create bespoke websites to help people go further online.
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Projects
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Users
Certifications
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Years
About Me
I am a full stack web developer with a passion for creating interactive and responsive web applications. I have experience working with JavaScript, React, Redux, Node.js, Express, PostgreSQL, Sequelize, HTML, CSS, and Git. I am a quick learner and I am always looking to expand my knowledge and skill set. I am a team player and I am excited to work with others to create amazing applications.
- JavaScript
- ReactJS
- NextJS
- Firebase
- Digital Image Processing using Python
- Java
My Projects
Flix
Flix, a movie experience website, where all the latest movies from netflix are available to choose from.
PharmLink+
The future of secure healthcare, our blockchain-powered system is revolutionizing medical prescription management, eliminating fraud and ensuring patient safety with unparalleled transparency and accountability.
BuzzJob
BuzzJobs is a job portal built using Next.js and SQL, designed to streamline the job search process for both job seekers and employers.
Breeze'24 - Circa'72, University Fest
A full stack application where attendees could effortlessly register and make payments for various events for my University's Festival. Focusing on the intricate development of distinct user roles, the e-commerce functionality, and the robust backend architecture.
sentiment_Analysis
We've conducted a sentiment analysis on the dataset, which classifies each tweet into categories such as positive, negative, or neutral sentiment. The analysis provides valuable insights into the public's emotional responses and opinions regarding the G20 Summit.
Finvest, finance-tech club
Welcome to the exciting world of Finvest, where finance becomes an exhilarating adventure rather than a daunting mystery! We're not your average finance club– at Finvest, we're on a mission to unleash the power of financial literacy and make it accessible to everyone.
Sales Forecast
This project utilizes Linear Regression, a fundamental machine learning algorithm, to predict the number of items sold in various stores. We use a comprehensive training dataset that includes 900,000 data points, each detailing the date, item, store, and the quantity of items sold. The goal is to provide accurate sales forecasts that can help in inventory management and marketing strategies.
Handsign-Recognition
This project implements a real-time hand gesture recognition system using a webcam. The system segments the hand region from the background and displays the thresholded hand image and the contours of the hand.
Let's Connect
I'm currently looking for new opportunities, my inbox is always open. Whether you have a question or just want to say hi, I'll get back to you!
