Projects & Works

A modern e-commerce platform for premium anime-themed t-shirts, built with Next.js and featuring a clean, responsive design.

A reliable truck and vehicle rental service platform for moving goods, logistics, and transportation needs with fast booking and affordable rates.

A modern, responsive restaurant food ordering web application built with React, Vite, and Tailwind CSS.

A high-performance landing page for a BDIX bandwidth service with speed testing, dynamic pricing, and neo-brutalist UI.

Track shared meals & split costs easily with your housemates. A collaborative meal planning and expense tracking app with real-time sync.

Free online CGPA and SGPA calculator for DIU students with academic performance analysis and transcript generation.

A modern web application to track and manage your workouts.

CardBuddy is a modern React-based web application designed for users to register, log in, and access a dashboard showcasing their virtual card details, balance, and transaction history. The backend is powered by Node.js, Express, and MongoDB, providing robust user management and data handling.

A modern attendance management system that uses MAC address scanning to automatically track student attendance. This system combines a React frontend with a Node.js backend to provide a seamless and efficient attendance tracking solution.

An event management landing page for a client.

A desktop plant care application that uses weather data and AI to intelligently adjust watering schedules for individual plants. The app analyzes factors such as temperature, rainfall, and weather forecasts to determine when and how much a plant should be watered.

Dedicated telegram bot for HomieBites database, that send data from a group message

A Chrome extension to check your DIU (Daffodil International University) CGPA and semester-wise results directly from your browser.

A dedicated downlaod manager for linux devices

A modern web application for processing and analyzing C code with various features including comment removal, tokenization, code optimization, AST visualization, IR generation, symbol table generation, and syntax validation.

A lightweight convolutional neural network (CNN) designed to classify lung diseases from chest X-ray images. The system incorporates Explainable AI (XAI) techniques to provide visual and interpretable insights into the model’s predictions, helping users understand which regions of the X-ray contributed to the classification.