Atul Mishra
Web developer building a responsive and modern websites
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TrendyTees is a modern eCommerce web application built to deliver a seamless online shopping experience. Developed using the MERN Stack, the platform features secure user authentication, product browsing with category filters, shopping cart functionality, and a responsive, user-friendly interface. This project showcases my ability to build scalable, full-stack eCommerce solutions with clean UI, efficient backend architecture, and an optimized user experience.
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WebCraftStudio is a modern portfolio and business website designed to showcase my web development services and projects. Built with Next.js, it features a responsive design, clean UI, SEO-friendly architecture, and an interactive contact form for seamless client communication. The project reflects my focus on performance, scalability, and creating professional digital experiences for businesses and startups.
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EduSync is a full-stack Institute ERP platform designed to simplify communication and academic management for educational institutions. The application includes a modern dashboard, attendance management, timetables, resource sharing, reports, and a real-time messaging system for seamless collaboration between users.
I developed this project using Next.js for the frontend, the MERN stack (MongoDB, Express.js, React, Node.js) for the backend and database, and WebSockets (Socket.IO (http://Socket.IO)) to power instant one-to-one and group messaging with real-time updates. The application features secure authentication, responsive UI, role-based access control, and scalable architecture for handling multiple users efficiently.
This project demonstrates my expertise in full-stack web development, real-time communication systems, REST API development, database design, and building modern, responsive web applications focused on performance, usability, and scalability.
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AI Resume Analyzer is a full-stack web application that helps users evaluate and improve their resumes using AI-powered analysis. Users can securely upload their resumes, receive instant feedback on skills, formatting, ATS compatibility, and overall quality, along with actionable suggestions for improvement.
I built this project using Next.js for the frontend, MERN stack technologies for backend services and database management, and Python for AI-driven resume analysis and processing. The application features a responsive user interface, secure authentication, fast file uploads, and real-time analysis results.
This project strengthened my skills in full-stack development, API integration, AI workflows, database design, and creating scalable, user-friendly web applications.
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