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ActiveG20_2025-2026_GP1

Smart Home Forensics Architecture

This project examines the creation and assessment of an investigative forensic architecture tailored for intelligent smart home settings. While the rapid adoption of Internet of Things (IoT) devices in modern homes provides convenience and safety, it introduces significant difficulties for digital forensics, especially regarding evidence collection, storage, and the handling of unauthorized access. To address these challenges, the project proposes a multi-tiered forensic model encompassing procedures for data gathering, acquisition, and safeguarding. This framework aligns rigorous forensic principles with IoT-specific needs, ensuring every piece of collected evidence receives a reliable timestamp and a cryptographic hash (SHA-256) for integrity verification. Additionally, the model utilizes a centralized Evidence Vault with Write Once, Read Many (WORM) storage to maintain a dependable and tamper-proof chain of custody. The system offers a systematic method for examining security incidents in smart homes, illustrating how evidence can be gathered, examined, and safeguarded to ensure legal admissibility in court.

Supervisor
Dr. Saad AL-Qahtani
Students
Loay ZaidanAbdullah SahhafMohammad Ahmad
ActiveG19_2025-2026_GP1

IoT-BASED SMART WASTE MANAGEMENT SYSTEM

Managing waste in growing cities presents a significant challenge. Traditional collection methods follow fixed routes, wasting time, fuel, and money, often leading to bins overflowing and causing pollution and health hazards. This project proposes an IoT-based smart waste management system to resolve these issues. Sensors placed inside waste bins measure fill levels and check their conditions in real time. This data is transmitted to a central server, which utilizes Dijkstra's route optimization algorithm to plan the most efficient collection routes. A user-friendly web-based dashboard allows workers to monitor bin statuses and easily manage these routes. The system's primary goals are to reduce unnecessary collection trips, save fuel and operational costs, prevent overflowing bins, and make overall waste collection faster, cleaner, and more efficient. The expected outcomes include a working prototype simulating real-time sensor data, an optimized routing model, and a predictive system for forecasting future waste levels.

Supervisor
Dr. Yasser Aldwyan
Students
Mandy AbdulGhanyYakubu Mamudu
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FinishedG2_2025-2026_GP2

Chatbot: AI-Powered Religious Q&A for Muslims

Muslims worldwide frequently seek answers to religious questions concerning Islamic practices, beliefs, and history. However, obtaining immediate and reliable answers can be challenging due to language barriers and the limited availability of qualified scholars. This project proposes a mobile application designed to allow Muslims to ask questions about Islam and receive verified answers from credible sources. The application utilizes Artificial Intelligence (AI) and Natural Language Processing (NLP) to interpret, translate, and summarize user queries. If a question matches an entry in the structured Arabic Frequently Asked Questions (FAQ) database, an instant response is provided. If the question is not found, the app automatically forwards the query to a verified Islamic scholar (Sheikh) who provides a personalized answer. This response is then sent back to the user along with the scholar's profile details. The system aims to enhance the accessibility of authentic Islamic knowledge for users globally, particularly visitors to Masjid An-Nabawi.

Supervisor
Dr. Sami Alshamrani
samialshamrani@gmail.com
Students
Feras Altasi
Yasser Alqulayti
Abdulwasie Nasir
Apr 26, 2026 18:19 Final File
FinishedG6_2025-2026_GP2

Mojaz Platform - An Integrated Digital System for Managing Qur'anic Ijazah in Al-Masjid Al-Nabawi

The Mojaz Platform is a comprehensive digital system designed to manage the lifecycle of Qur'anic Ijazah (certification) in the Prophetic Chamber at Al-Masjid Al-Nabawi. Historically, Qur'anic Ijazah relies on traditional Isnad documentation, which involves manual, paper-based processes that are time-consuming and prone to errors. Mojaz modernizes this by combining the authenticity of traditional Isnad with the precision of digital documentation. The platform replaces outdated manual validations with a unified digital framework utilizing Role-Based Access Control (RBAC) across five core roles: Student, Professor (Ustadh), Verifier (Muwathiq), Mujiz, and Administrator. It offers a secure ecosystem with features like automated session scheduling, digital academic evaluations, smart notifications, and the issuance of verified digital certificates embedded with QR codes. Developed using React, Tailwind CSS, Nest.js, and PostgreSQL, the system ensures transparency, traceability, and secure data flows. Mojaz successfully harmonizes classical Islamic training with modern technology to protect the sanctity of Qur'anic transmission.

Supervisor
Dr. Faisal Al-Hammadi
Students
Waleed Bakr
Yahya Yaser
Faris Al-Balawi
Apr 26, 2026 16:17 Final File