Durgesh Kumar's Projects
Implemented Frontend using the latest NextJS 13 app router and Tailwind CSS. For backend I used NodeJS and Express JS
This is a Custom Schedul Calender component for booking a demo. Here we can select a date and time then fill our personal information and book our demo. This project is mainly displaying the custom calender component which I have made from scratch without using any external librery, using purely logic and ofcours javascript. This data is not stored anywhere and this project is only for demo purpose.
Emoji Detector using OpenCV and used Mediapipe to detect hand landmarks.
Why hold my beer when you can Hold My Anime. The idea was to make something like LinkedIn for anime lovers.
Kindly look at the readme file and read the points to be noted' section. Also, look at the video recording attached to see the full potential of the page.
Personal Blog (Underdevelopement π§) π’ Features Implemented Server Side Rendering with static site rendering. Markdown using React Markdown. Code syntax highlighting. Custom SEO component with all the important meta tags. Debouncing for the searchBlog Component. π‘ To be implemented Structured Data for JSON-LD Content clustering by implementing related post component. Add sense Analytics π§βπ» Tech Used So far NextJS Tailwind StrapiCMS ReactMarkdown Prism React Renderer
Podcast Web Application is a web-based application that allows users to browse, listen to, and create podcasts. The main objective of this project was to create a user-friendly application that would provide a platform for users to listen to their favorite podcasts from any device with internet access.
Web app which brings together all the activities of sawo champ at one place. Goals are to eliminate the use of google forms for submitting task. Its easier for champs to track their tasks and for admins to assign points. Implemented leader boards
SUBS (short for Subscription) is a progressive web app that lets you track all your subscriptions. You can even keep a track of all the people you shared your subscriptions with.
π A library of components and learning resource for Tailwind CSS.
It tells you the sentiment of the text. Dataset link in the readme file.
Can control volume using hand with the help of tools such as OpenCV, Mediapipe, Python, pycaw