Tong is a community-driven social media web app inspired by the vibrant culture of Bangladeshi tea stalls (tong). It enables users to connect, debate, and share stories in a lively, interactive environment.

Published research in Springer on bone tumor prediction using machine learning techniques. The study focuses on developing accurate prediction models for bone tumor classification and early detection.

Research work on event detection in Bangla news text using advanced NLP techniques. Implemented a full pipeline with text preprocessing, transformer-based embeddings, and deep learning models.

Research project on recognizing Bangla Braille characters using computer vision and deep learning. Developed a CNN-based system achieving 94% mAP@50 for real-time character recognition.

An advanced AI chatbot built using LangGraph, FastAPI, and Streamlit. Features intelligent agent-based interactions and natural language processing capabilities.

An intelligent system for analyzing football matches through video using Machine Learning and OpenCV. Combines deep learning-based object detection (YOLOv5) with traditional computer vision techniques.

A web application that detects events from Bangla text sources using advanced NLP techniques and machine learning models.

A video messaging tool that lets you quickly record your screen, voice, and face to share information faster than typing. Perfect for async communication, tutorials, product demos, and team updates.

A collection of Machine Learning practice assignments and implementations covering various ML concepts and techniques.

An efficient tool for summarizing PDF documents quickly and accurately using advanced NLP techniques.

A curated collection of Bangla news articles for NLP research and development, supporting various natural language processing tasks.

A comprehensive restaurant management system with features for menu management, order processing, and customer service.