Browsing by Author "Mohammad Ashrafuzzaman Khan"

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    Embargo
    Dark Web E-Commerce Sites
    (North South University, 2020) Abdur Rakib Rahat; Sumaya Yeacin Rimu; Raihan Hossain; Anwar Shadaab; Mohammad Ashrafuzzaman Khan; 1620521042; 1530664042; 1520456042; 1611383042
    The dark Web is a much bigger place than our surface web in terms of the number of websites, so we cannot say the same thing about the e-commerce world of the Dark Web. Most of the e-commerce on the Dark Web is linked with various illegal activities. It can be considered a huge repository of selling drugs, weapons, pornography, personal documents, stolen & brand new electronic parts, and even body parts of humans. Using transactions via anonymous cryptocurrency, the Dark Web assured buyers that they could trade here without exposing their personal information. Privacy is a key component that makes the e-commerce of the Dark Web so popular, and it is increasing rapidly. Our purpose of this research is only to observe the structure of e-commerce websites of the Dark Web & the main causes that bring the interest of buyers to visit Dark Web e-commerce more & more. In order to accomplish that, this research paper represents our attempt to crawl and scrape dark websites.
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    Open Access
    Schoolaboration- Your All-in-One Academic Solution
    (North South University, 2023) Mabeean Suukyi; Israka Jahir; Sadia Sultana; Mohammad Ashrafuzzaman Khan; 1921348642; 1921312042; 1921746042
    The "Schoolaboration" project represents a significant milestone in the realm of academic management. This innovative platform is designed to address the multifaceted challenges that students and educational institutions face in today's dynamic educational landscape. It offers a holistic approach, integrating various essential features such as note organization, course access, task management, team collaboration, institute news updates, and a website blocking feature to enhance focus. In the current fast-paced academic environment, students often struggle to manage their coursework efficiently. "Schoolaboration" streamlines the academic experience, making it more user-friendly and productive. Moreover, the project not only caters to students' needs but also emphasizes the reduction of environmental impact. It curbs paper usage, conserves resources, and promotes sustainable practices by reducing carbon emissions from travel. "Schoolaboration" is not just an all-in-one educational solution but also an eco-friendly one.With a vision of widespread adoption, "Schoolaboration" is designed to accommodate changes and future enhancements. It aims to expand its compatibility with various devices and operating systems, improve its machine learning algorithms for better task recommendations, and integrate advanced security features.
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    Open Access
    Third Eye:Student attendance & behavior Monitoring in classroom through facial Recognition by analyzing live video data
    (North South University, 2022) MD Raihan Khan Student; Zannatul Islam Proma; Mohammad Ashrafuzzaman Khan; 1831118042; 1911916642
    We are more drawn to automated systems because of rapid technological advancements. For the majority of issues, we find automated systems to be the answer. Therefore, we came up with an automated system for student behavior monitoring in the classroom. This system captures and makes a summary of student behavior in the classroom. The faculty is in charge of overseeing student attendance, attention, and activities including entering and exiting the classroom in addition to making sure that lessons go well. Manual observation of these could affect the teaching and learning process of the faculty and students and causes a distraction from the main syllabus. The system records the entire session and identifies when the students pay attention in the classroom, and then reports to the faculties. Students’ performance can be recorded, and the data can be used for continuous assessment in the future. There are mainly two objectives of our project: First, to detect faces and recognize them for attendance and to detect students’ attentiveness and behavior in the classroom during lectures.