Projects

Research prototypes and software projects spanning AI, privacy, and distributed systems.

Jan 2026 – May 2026

SPARK Adversarial Safety

Stress-testing SPARK humanoid safety filters under adversarial simulation conditions, including noise, latency, and crowding robustness tests.

Code on GitHub
Jan 2026 – May 2026

Label Aggregation Algorithm

A Python-based project related to label aggregation and algorithmic decision support.

Code on GitHub
Dec 2024 – July 2025

VeilPIR

Implementation of VeilPIR, a lightweight private information retrieval protocol for IoT. The project uses homomorphic encryption ideas to support privacy-preserving queries in resource-limited environments.

Code on GitHub
Aug 2024 – Oct 2024

Cloud-Based To-Do List App

Firebase Authentication, Firestore, Firebase Hosting, HTML, CSS, and JavaScript.

A cloud-based web application for managing to-do tasks with user authentication and real-time data storage using Firebase services.

Code on GitHub

CS609 Advanced Programming Languages

In-class coursework materials for CS609

Code on GitHub
Feb 2021 – May 2021

Digital Food Restaurant

Servlet, MySQL, MVC Architecture, Tomcat, Eclipse, Xampp, CSS, and JSP.

A web-based restaurant management application developed using Java servlet technologies and MVC architecture, with database-backed ordering and management features.

Code on GitHub
Oct 2019 – Jan 2020

Hospital Appointment Management System

PHP, MySQL, Database, HTML, Xampp, Web API, and Dr. Java.

A database-backed hospital appointment management system for organizing patient appointments and supporting basic healthcare scheduling workflows.

Code on GitHub
Oct 2019 – Jan 2020

Calculator with MVC Pattern

Python, MVC Framework, NetBeans, Android Studio, and XML.

A calculator application designed using the Model-View-Controller pattern to separate interface, logic, and control flow.

Code on GitHub

Line Follower Autonomous BOT

Arduino UNO, IR Sensor, and L298 Motor Driver.

An autonomous line-following robot developed for Technival at KUET using embedded hardware components and sensor-based navigation.

Sept 2019 – Dec 2019

Smart Transportation System

Computer Vision, Machine Learning, OpenCV, Image Processing, and Python.

A smart transportation project using computer vision and machine learning methods for image-based transportation analysis.