المشاريع الواعدة

عنوان المشروع: Cooling Vest

الوصف:
This project addresses the critical challenge of occupational heat stress in extreme thermal environments, specifically targeting industrial workers in Iraq where ambient temperatures routinely exceed 50°C during peak summer months and a structural national power deficit of over 10,000 MW renders conventional air conditioning infrastructure unreliable and economically unsustainable. The proposed solution is a TEC1-12710-based wearable personal cooling vest that integrates a three-module thermoelectric (Peltier) cooling assembly with a closed-loop water circulation network, an Arduino Nano embedded control system employing MOSFET-driven PWM regulation, and a dual-layer smart textile architecture combining a waterproof outer shell with a Delta Fabric inner lining for optimized body-surface heat transfer and moisture management. DS18B20 digital and NTC thermistor sensors provide continuous thermal monitoring of the water reservoir and circulation loop, enabling real-time adaptive control of the cooling cycle. A high-efficiency finned heat sink paired with a brushless DC exhaust fan ensures effective hot-side heat rejection under extreme ambient conditions. All system components were sourced exclusively from locally available Iraqi markets to ensure economic viability and scalable industrial deployment. Experimental evaluation confirmed the system’s ability to maintain a measurable cold-side temperature differential under simulated high-ambient conditions, validating the feasibility of sustained thermoelectric personal cooling. The proposed vest constitutes an energy-efficient, battery-compatible, field-deployable thermal protection platform with direct applications in industrial, healthcare, and military environments where centralised cooling infrastructure is inaccessible.

تاريخ رفع الملفات: 2026-07-06 03:54:48

عنوان المشروع: Adaptive IoT Intrusion Detection System (IDS): Gateway Edge Framework

الوصف:
This paper presents an Adaptive IoT Intrusion Detection System (IDS) that operates at the Gateway Edge to protect smart environments. The system has two main components: the Edge Engine which performs real-time traffic classification using Scapy for sub-millisecond threat detection, and the Central Brain which handles analytics and model training based on actual traffic data. It uses a Random Forest Classifier with an ensemble modeling approach, achieving 99.1% precision after training on simulated attack data. Key challenges addressed include protocol heterogeneity, resource constraints, latency, and high false positive rates. The system employs passive sniffing, feature extraction, and WebSocket alerts to minimize bandwidth usage.

تاريخ رفع الملفات: 2026-07-05 14:16:21

عنوان المشروع: مهنتي - Mehnati

الوصف:
Description
The digital transformation process has revolutionized the recruitment process globally, but the experience of Arabic-speaking individuals is disjointed because of insufficient support for right-to-left functionality and localization. In order to address this problem, the Mehnati platform is developed to be Arabic-first and cloud native platform for professionals and freelancers using AI, semantic search and modern cloud computing architecture.

Process
1- Merges networking, freelancing, and messaging into a unified application.
2- Utilizes native Arabic language support from right to left.
3- Incorporates semantic searching, vector embeddings, and LLMs for deep-profile analysis.
4- Leverages scalable and serverless cloud infrastructure.

Expected Results
1- Better matching of candidates and jobs using semantic similarity.
2- Seamless experience on one platform for Arabic users.
3- AI-generated assistance and document creation.

تاريخ رفع الملفات: 2026-07-05 03:14:07

عنوان المشروع: EmoBridge: A Real-Time Edge-Computing System for Children's Emotion Recognition and Engagement Tracking Using Embedded Al

الوصف:
This research presents an integrated engineering and sensory framework to mitigate communication barriers for children with Autism Spectrum Disorder (ASD) using the "EmoBridge" robotic system. The work develops a customized Graphical User Interface (GUI) tailored for a hardware-constrained environment featuring a 3.5-inch embedded display with a fixed 320 x 480 resolution using the PyQt5 framework. The design delivers a User Experience (UX) that prioritizes sensory security and limits overstimulation by enabling adaptive personalization via cognitive avatars and dynamic, soothing color themes. Concurrently, the system implements a lightweight backend architecture utilizing SQLite 3 to manage profiles and securely record session metrics. The proposed architecture optimizes asset management and minimizes RAM utilization on the Raspberry Pi, significantly expanding the child's engagement rate and acceleratıng emotional responsiveness within a secure interactive medıum

تاريخ رفع الملفات: 2026-07-05 19:13:57

عنوان المشروع: Refine Tiqani technician skills selector UI into a category → skills → sub-skills picker. Frontend repo: /home/zeus3000/PycharmProjects/tiqani-frontend Frontend branch: frontend/hotfix-tech-multi-skills Backend repo: /home/zeus3000/PycharmProjects/t

الوصف:
This project addresses a significant problem in assistive technologies and community service for individuals with hearing and speech impairments. The proposed solution is based on a web application that uses computer vision and hand-tracking logic to automatically translate Arabic sign language into written text and spoken audio, with the aim of removing communication barriers and helping individuals with speech and hearing difficulties connect easily with society in their daily lives. The expected outcomes include developing a local web-based system that delivers a 96% translation accuracy and a stable real-time speed of 25–30 FPS completely free of charge.

تاريخ رفع الملفات: 2026-07-05 23:38:19

عنوان المشروع: Design and Development of "Da'ira": A Smart, Local Waste Classification and Recycling System Using Edge Computing and Deep Learning

الوصف:
Pollution and waste accumulation represent a growing environmental challenge in Iraq. This research introduces the "Da'ira" (Circle) project, a smart local waste classification and recycling system designed to promote sustainability. The system relies on deep learning techniques using a Convolutional Neural Network (MobileNetV2), which was locally fine-tuned via Transfer Learning to classify five categories of waste: Plastic, Metal, Glass, Paper/Cardboard, and General Trash. The system is designed following an Edge Computing architecture to run entirely locally on a lightweight (Flask) server without the need for external cloud Application Programming Interfaces (APIs). This ensures independence, ultra-fast response times, data privacy, and absolute protection against cyber manipulation. The platform is designed to be accessible via students' personal devices (mobile and PC), empowering them to classify waste and earn points. To prevent fraud, the system proposes an anti-fishing mechanism based on Dual IR Break-Beam Sensors to accurately read and confirm the falling path of the materials. This mechanism is completely independent of the AI classification process. The results demonstrated high classification accuracy (92.5%) and instant inference time (120 ms), making it a viable model for promoting sustainable development.

تاريخ رفع الملفات: 2026-07-06 03:38:05

عنوان المشروع: Smart Waste Management System

الوصف:
This project presents a smart waste management system that improves municipal waste collection and supports waste-to-energy analysis. The proposed solution integrates a WPF desktop application, ASP.NET Core web API, SQL Server database, Python FastAPI machine learning service, CATBoost regression, and genetic algorithm. The system chooses a suitable driver assignment using operational factors such as distance, capacity, current requests, and area compatibility; it also predicts electrical energy from waste composition and provides an engineering fallback equation when the machine learning service is unavailable. The expected outcome is a unified decision-support evaluation of collected waste as a renewable-energy resource.

تاريخ رفع الملفات: 2026-07-05 12:34:56

عنوان المشروع: securAI: A Multimodal Sensor-Fusion and Edge-AI Architecture for a Checkout-Free Smart Store Serving the Community

الوصف:
This project addresses a significant problem in physical retail: the friction, queues, and labor cost of conventional checkout, which excludes time-poor, elderly, and disabled shoppers and constrains store throughput. The proposed solution, securAI, is a checkout-free smart store in which a customer enters, selects products, and departs while a virtual basket is compiled in real time, and the linked bank card is charged automatically within seconds. The system is built on multimodal sensor fusion—ceiling cameras, weight-sensing shelves, and Wi-Fi/BLE sensing—orchestrated by a six-layer edge-artificial-intelligence (edge-AI) architecture that couples object detection, multi-object tracking, cross-camera person re-identification, and hand-pose estimation to attribute every selected item to the correct shopper under an “independent-evidence” principle. The primary objective is a deployable micro-store prototype that demonstrates the complete pipeline on a single smart shelf while targeting a billing error below 0.1%. Anticipated outcomes include real-time per-customer attribution at approximately 30 frames per second per camera with sub-100 ms event latency, an identity-stability score above 90%, measurable reductions in waiting time and energy consumption through zone-based activation, and an affordable, locally serviceable design suited to emerging retail markets.
Keywords: checkout-free retail; sensor fusion; edge AI; multi-object tracking; person re-identification.

تاريخ رفع الملفات: 2026-07-05 20:35:18

عنوان المشروع: AI-Driven Aerial Surveillance for Drone Detection and Tracking Using YOLOv8

الوصف:
This project addresses a significant problem in the field of aerial security and surveillance: the accurate discrimination between safe airborne objects (birds and civil aircraft) and potential security threats (drones)

تاريخ رفع الملفات: 2026-07-05 06:02:05

عنوان المشروع: Implementation of Smart Home Web Application Using Arduino

الوصف:
مع تزايد الاهتمام بمفهوم الاستدامة وترشيد استهلاك الطاقة في الجامعات والمؤسسات التعليمية، يقدم هذا المشروع تصميم وتنفيذ نظام تحكم ذكي قائم على الويب باستخدام لوحة Arduino. يهدف النظام إلى تحسين كفاءة الطاقة من خلال المراقبة والتحكم عن بعد بالأحمال الكهربائية في القاعات الدراسية والمختبرات والمرافق الجامعية. يعمل النظام المقترح على دمج إدارة الأحمال الكهربائية، والتحكم في المحرك الخطوي (stepper motor)، واستشعار درجة الحرارة عبر خادم ويب مدمج. يتم تحقيق الاتصال باستخدام مكتبة Arduino Ethernet، بينما يتم تنفيذ التحكم الدقيق بالمحرك باستخدام مكتبة AccelStepper. يتيح النموذج الأولي المطور للمستخدمين مراقبة الأجهزة والتحكم بها بشكل فوري عبر متصفح ويب قياسي، مما يوفر حلاً بسيطاً وفعالاً من حيث التكلفة للأتمتة. أظهرت النتائج التجريبية أداءً موثوقاً في تبديل الأحمال، والتحكم بالمحرك، وجمع بيانات درجة الحرارة. كما يتميز النظام بقابلية التوسع للعمل عبر الشبكات المحلية (LAN) والإنترنت، مع إمكانية تطويره مستقبلاً من خلال التكامل مع الحوسبة السحابية، وتقنيات التشفير، واستخدام متحكمات دقيقة أكثر تقدماً لدعم تطبيقات إنترنت الأشياء (IoT) الحديثة.

تاريخ رفع الملفات: 2026-06-15 20:19:51

عنوان المشروع: المنقذ AI

الوصف:
مشروع (المنقذ AI):
منصة ذكاء اصطناعي متكاملة للاستجابة السريعة للطوارئ في محافظة البصرة، توحّد خدمات الإسعاف والدفاع المدني والشرطة بنظام واحد. الفكرة الأساسية: وكيل ذكاء اصطناعي يعمل على هاتف المستخدم نفسه، يكتشف عبر خوارزمية صوتية (VAD) إذا الشخص انقطع عن الكلام لمدة 5 ثوانٍ بعد الضغط على زر الطوارئ (يعني فقد وعيه أو ما قدر يتكلم)، فيتصرف تلقائياً: يحدد الموقع بدقة عبر GPS، ويرسل الإحداثيات مع البطاقة الصحية العائلية المخزَّنة مسبقاً (فصيلة الدم، الأمراض المزمنة، الحساسية) مباشرة للجهة المختصة.
المنصة مبنية بـ Flutter/Dart للتطبيق، وFlask/MySQL للخادم الخلفي، مع لوحة تحكم جغرافية (GIS) فورية لمشغّلي مراكز العمليات البلدية، وموقع إلكتروني توعوي لتشجيع تحميل التطبيق.
Al-Monqith AI is an intelligent emergency-response platform for Basra that unifies medical, fire, and police dispatch. Its core innovation is an on-device AI agent using Voice Activity Detection: if a user triggers an alert but goes silent for 5 seconds (suggesting unconsciousness or incapacity), the app autonomously transmits GPS coordinates and pre-stored family health records to first responders — removing reliance on verbal communication during crises.

تاريخ رفع الملفات: 2026-07-05 14:38:04

عنوان المشروع: القفاز الذكي لترجمة لغة الإشارة

الوصف:
يتناول هذا المشروع مشكلةً جوهريةً في مجال التقنيات المساعدة والأنظمة المدمجة، وهي مشكلة التواصل التي يواجها الأشخاص من ذوي الإعاقة
السمعية والنطقية. ويستند الحل المقترح إلى قفاز ذكي مزود بحساسات انحناء وحساس MPU6050 ومتحكم ESP32 للتعرف على إيماءات لغة الإشارة
وتحويلها إلى مخرجات فورية. يهدف المشروع إلى تطوير نظام منخفض الكلفة وسهل الاستخدام وقابل للحمل لتحسين سهولة التواصل. وتشمل النتائج المتوقعة
تحسين كفاءة التواصل، وزيادة استقلالية المستخدمين، وتعزيز الاندماج الاجتماعي لذوي الإعاقة السمعية والنطقية.

تاريخ رفع الملفات: 2026-07-05 08:38:32