Interactive Resume

Full-stack e-commerce platform developed with Next.js (frontend + backend). Integrated Stripe for payment processing and implemented user authentication, product filtering, and shopping cart features. Used MongoDB for database management and AWS S3 for secure storage. Deployed on Vercel for optimal performance and scalability.

Built with Next.js for both frontend and backend, offering users a platform to book problem-solving services. Real-time updates and notifications for both users and service providers. Categories include tech, legal, and repair services. Core booking and service features implemented; payment integration under development.

Designed and developed a responsive and modern educational website for Aakar Education using Next.js and TailwindCSS. The platform highlights Aakar’s mission to empower students through creativity and collaboration, featuring sections like Our Story, Programs, and Community. Focused on clean UI design, mobile responsiveness, and optimized performance for a seamless user experience.

A drag and drop website builder designed for creating custom websites in Nepal. Features dynamic JSON configuration rendering, drag-and-drop page builders, live site previewing, and domain registration and mapping for local businesses.

Designed and developed a highly responsive, cinematic portfolio website for Aakar Films. Features custom video player integrations, dynamic project media showcases, smooth animations with Framer Motion, and structured SEO markup to rank for local production keywords.

A secure, instant messaging web application featuring channel-based chat rooms, active status indicators, and offline message caching. Utilizes Socket.io for low-latency websocket connections.

An interactive, visual finance tracking application built with React and Tailwind CSS. Features dynamic SVG charts, expense categorization, budget limits, and history filtering with local storage state management.

A local AI developer tool that retrieves YouTube comments and conducts deep sentiment analysis using local LLMs. Summarizes video comments and clusters topics to analyze audience sentiment privately and affordably.

A dynamic, responsive quiz application designed to test user knowledge across custom categories. Features a timed questionnaire, instant feedback on answers, score summary reports, and local storage scoring persistence.