Ayushmaan
Ayush038
A new to industry IT programmer With keen interest in MERN stack Also made few websites integrated with Python and Fast API Backend. @bajajdev @Theistic-guy
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Repos
13
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4
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JavaScript
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Top Repositories
Developed a real-time 🕒 task manager using the MERN stack with a custom Kanban board and drag-and-drop 🧩 via DnD Kit. Added JWT auth 🔐, smart task assignment 🤖, real-time sync 🔄 with Socket.IO, conflict handling, an activity log 📝, and a fully responsive UI 📱🖥️.
This software helps you to predict any student's performance status 🧑🎓🏫 on the bases of some key characteristics such as their Previous Marks🖊️, Attendance📅, Wasted time⏰, Extracurricular📖, etc. This project is made on React FrontEnd while BackEnd is powered on Fast API and Pandas 💻.
This is a full-stack shopping website built using the MERN stack (MongoDB, Express.js, React, Node.js) with a strong focus on providing intelligent product recommendations through a separate machine learning backend.
Repositories
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A production-ready MERN task management application featuring JWT-based authentication, role-based access control for users and admins, task creation and updates, activity logs, due-date sorting, and a clean, responsive UI, with the frontend deployed on Vercel and the backend hosted on Render.
The Leaderboard Application is a full-stack web app that displays user rankings based on total points. Built with React.js and Node.js (Express), it lets users select a player and assign random points. Rankings update live, providing an interactive and real-time scoring experience ideal for games or competitions.
Developed a real-time 🕒 task manager using the MERN stack with a custom Kanban board and drag-and-drop 🧩 via DnD Kit. Added JWT auth 🔐, smart task assignment 🤖, real-time sync 🔄 with Socket.IO, conflict handling, an activity log 📝, and a fully responsive UI 📱🖥️.
This software helps you to predict any student's performance status 🧑🎓🏫 on the bases of some key characteristics such as their Previous Marks🖊️, Attendance📅, Wasted time⏰, Extracurricular📖, etc. This project is made on React FrontEnd while BackEnd is powered on Fast API and Pandas 💻.
This is a full-stack shopping website built using the MERN stack (MongoDB, Express.js, React, Node.js) with a strong focus on providing intelligent product recommendations through a separate machine learning backend.
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