Promising Projects

Project Title: Sign Language Translator for Speech Impaired Using AI Techniques

Description:
This project aims to tackle the lack of communication skills among deaf and speech impaired individuals who are socially and professionally cut off from the mainstream due to the lack of understanding of sign language among the mainstream. The proposed solution is developing a real-time Arabic Sign Language (ArSL) translator that translates hand gestures captured by a standard computer webcam, extracts hand landmarks using Kinetic mesh tracking and classifies extracted landmarks (hand feature vector) with a Random Forest classifier to provide recognized ASL signs in on-screen Arabic text and audible speech. The system is based on an efficient feature extraction pipeline that processes all the computations on commodity hardware, rather than on special purpose GPUs which have been the staple of heavy deep-learning models. It is able to recognize 35 ArSL gesture classes and has an overall recognition accuracy of 88.6%, maintaining 25-30 fps with sub-0.1 s latency. Built-in emergency feature detects a specific “ Danger” gesture and sends a distress message via the WhatsApp API. The outcomes are expected to be a dependable real-time recognition system, better social integration for hearing-impaired users, and a cost-effective assistive device that can be used in classrooms, workplaces and in the public sphere.

Uploaded At: 2026-07-03 15:06:59

Project Title: Intelligent Babylonian Robot for Detecting Emergency Humanitarian Situations

Description:
This project addresses a significant problem in urban search and rescue (USAR) operations within highly lethal post-disaster environments. The proposed solution is based on the Rescue Robot V3, an autonomous, 1.7-meter tall biomimetic platform featuring a Mesopotamian-inspired aesthetic design aimed at providing psychological comfort to victims. With the aim of mitigating the risks faced by human responders during the "Golden Hour" of recovery, the system integrates a 2WD differential chassis, ultrasonic obstacle avoidance, and a YOLOv4-powered artificial intelligence module for real-time detection of collapsed individuals (aspect ratio > 1.4). The expected outcomes include the deployment of a robust 5-point patrol-and-return navigation cycle, managed via MATLAB 2024a, that safely explores hazardous terrain, autonomously identifies emergency humanitarian situations, and maps the environment using a synchronized 3-color state tracking interface.

Uploaded At: 2026-07-01 19:03:30

Project Title: Smart Skill Recommendation System Based on Labor Market Needs

Description:
The rapid evolution of labor market requirements has created a significant gap between academic education and industry expectations. Many students and graduates face difficulties in identifying the skills required for their target careers and evaluating their readiness for employment. This project presents a Smart Skill Recommendation System Based on Labor Market Needs that utilizes Artificial Intelligence, Natural Language Processing (NLP) and Machine Learning techniques to analyze academic and job-related data.
The proposed system extracts skills from academic courses and job descriptions, compares them using TF-IDF and Cosine Similarity algorithms, and identifies missing competencies through Skill Gap Analysis. The platform provides personalized recommendations, compatibility scores, visual analytics, and career guidance to help users improve their employability.
The expected outcomes include enhancing career planning, reducing the gap between education and employment and supporting students in making informed decisions regarding skill development and professional growth.
Keywords: Artificial Intelligence, NLP, Skill Gap Analysis, Career Recommendation, Machine Learning.

Uploaded At: 2026-06-29 06:58:32

Project Title: MADA: Mesh Ad-hoc Decentralized Application

Description:
The global dependence on centralized communication infrastructure renders conventional messaging applications ineffective during network outages, natural disasters, and in geographically remote areas. This paper presents MADA (Mesh Ad-hoc Decentralized Application), a dual-mode decentralized messaging application developed for Android using the Flutter framework and the Dart programming language. MADA operates in two complementary modes: an Offline Mesh Mode, which establishes a Mobile Ad-hoc Network (MANET) through the Google Nearby Connections API by combining Bluetooth Low Energy (BLE) and Wi-Fi Direct to enable fully decentralized peer-to-peer communication without servers, and an Online Hybrid Mode, which utilizes Firebase Authentication, Cloud Firestore, and Firebase Storage for cloud-based message synchronization, media storage, and group management whenever Internet connectivity is available. The system performs seamless automatic failover between both modes, ensuring uninterrupted communication regardless of infrastructure availability. The offline layer employs a store-and-forward routing architecture with end-to-end AES-256-GCM encryption using Elliptic Curve Diffie–Hellman (ECDH) key exchange and multi-hop message relaying. To further improve routing efficiency, MADA integrates an AI-driven heuristic inference engine that performs adaptive multi-signal analysis to determine whether messages should be forwarded, buffered, or dropped, thereby reducing energy consumption, mitigating network congestion, and improving delivery reliability. In addition to text messaging, MADA supports rich media exchange, including images, audio, video, file attachments, real-time GPS location sharing, group conversations, AI-powered smart replies through the Gemini model, and emergency message broadcasting. Experimental evaluation on real Android devices confirmed successful multi-hop routing, sub-second message delivery in both operating modes, and seamless automatic switching between offline and online communication without message loss. The results demonstrate that a unified Flutter-based codebase can provide a robust and adaptive communication platform capable of maintaining reliable messaging in both connected and infrastructure-less environments.

Uploaded At: 2026-06-30 11:55:11

Project Title: Mirath: A Mobile Platform for Promoting Cultural Tourism in Iraq and Intelligent Chat

Description:
platform that allows citizens and tourists access to Iraq's archaeological heritage. It covers Sumerian, Akkadian, Babylonian, Assyrian, and Islamic sites in Arabic, English, and Kurdish. The app features an innovative interactive system based on GPS, rewarding visitors with badges only for actually visiting sites, not for passive browsing. It also includes an AI-powered chatbot that operates offline, addressing the issue of weak connectivity at many heritage sites.

The app also supports content sharing on social media, service reviews, and local data storage, making it lightweight and independent of external servers. It has been tested in 51 scenarios covering its core features and achieved largely successful results, with only minor GPS accuracy issues in areas with weak signals. "Mirath" offers a practical model that combines heritage content, site verification, and offline AI, paving the way for future collaboration with cultural and tourism authorities.

Uploaded At: 2026-06-30 09:14:00

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