Promising Projects

Project Title: ذراع روبوتي مفتوح المصدر ومنصة تدريب لتأهيل الكوادر في الذكاء الاصطناعي والروبوتات في العراق

Description:
مشروعنا هو ذراع روبوتية مفتوحة المصدر بنيناها وجمّعناها وعايرناها بأنفسنا، مع منصة تأهيل وتدريب وتطوير للمهندسين في القطاع الصناعي، هدفها إن المهندس العراقي يتعلّم الذكاء الاصطناعي والروبوتات بشكل عملي على جهاز حقيقي بدل ما يبقى الاعتماد على مكائن مستوردة وخبرات أجنبية مكلفة.الذراع تشتغل بحلقة تحكم مغلقة تعتمد على المشفّرات والكاميرات، ودرّبنا عليها نموذج تعلّم بالتقليد ونفّذناه فعلياً حتى نفّذت مهمة التقاط ووضع. صممنا حولها منهاج تدريبي يغطي التعلّم بالتقليد والتعلّم المعزّز والرؤية الحاسوبية وتحسين المسارات.

الفكرة إننا نوفّر طريقة رخيصة وقابلة للتكرار لبناء كفاءات محلية بهذا المجال. سوّينا استطلاع شمل 70 طالب ومهندس، وطلعت النتيجة إن أغلبهم يعتبر التدريب العملي على روبوت حقيقي أهم شي يحتاجونه، وعندهم اهتمام كبير بالانضمام لمنصة مثل هذي, وهاي بالضبط هي المشكلة الي احنا نحلها.
النتائج المتوقعة: توفير مسار قليل الكلفة وقابل للتكرار لبناء القدرات المحلية في الذكاء الاصطناعي والروبوتات.

Uploaded At: 2026-07-05 11:31:48

Project Title: A Water Sensor Development for Water Resources Management Using Advanced Technologies and Artificial Intelligence

Description:
Iraq’s water resources are increasingly affected by climate change, reduced transboundary river inflows, irregular hydrological events, and limited real-time monitoring infrastructure. These challenges make water allocation difficult, especially when decisions depend on fragmented data and delayed field measurements. This project proposes an artificial intelligence-assisted water resources management framework based on smart sensor networks, 26 GHz radar level sensors, and centralized data archiving. The system is designed around three main monitoring stations distributed along the Tigris and Euphrates Rivers and their connected lakes, with a central processing and archiving unit located in Rais Al-Bisha/Qurna. Real-time data on water level, quality, and regional demand are collected, transmitted, processed, and used to support adaptive water distribution decisions. A random sub-station verification mechanism is included to compare AI-generated decisions with live field readings before implementation. The expected outcome is a more reliable, responsive, and scalable decision-support system for improving water distribution, reducing losses, and supporting sustainable water management in Iraq.

Uploaded At: 2026-07-05 00:32:02

Project Title: تصميم نظام قائم على تقنيات إنترنت الأشياء (IoT) لمراقبة منسوب المياه والنشاط الزلزالي مع إمكانية الإنذار المبكر والتحكم الآلي في مشروع سد حديثة

Description:
This project addresses a significant problem in water resource management and the structural safety of dams. The proposed solution is based on an IoT-integrated ESP32 microcontroller system equipped with ultrasonic and vibration sensors, with the aim of autonomously monitoring water levels, detecting structural anomalies, and managing water flow via automated pumps. The expected outcomes include a highly responsive, automated dam management system that mitigates flood risks and prevents structural failures, providing real-time data monitoring through the Blynk platform.

Uploaded At: 2026-07-05 04:26:54

Project Title: Robotic Hand Control via Somatosensory Glove

Description:
This project presents a robotic hand control system based on a somatosensory glove capable of capturing finger and wrist movements and translating them into control commands for a robotic hand. The system utilizes potentiometers to measure finger movements and an MPU6050 sensor to detect wrist motion. ESP32 microcontrollers and Bluetooth Low Energy (BLE) communication are employed for real-time data processing and wireless transmission. The robotic hand, based on the InMoov Hand design, reproduces the detected movements using six servo motors responsible for controlling the fingers and wrist. The primary objective of this project is to develop a low-cost, user-friendly, and real-time robotic control system that accurately mimics human hand movements. The proposed system provides a practical platform that can be further utilized in applications such as prosthetic devices, rehabilitation systems, remote operation, and human–robot interaction research,

Uploaded At: 2026-07-05 23:41:47

Project Title: Building Management System based on Artificial Intelligent

Description:
This paper presents the design and implementation aspects of Building Management System (BMS) for the optimized control of air conditioning, standby generators, and water pumping systems. The system utilizes a hybridized centralized-distributed control topology via an Ethernet network and Modbus RTU, where dual Delta DVP-12SE Programmable Logic Controllers (PLCs) and Human Machine Interface (HMI) are used. Real-time electrical telemetry from grid and generator lines is sampled post-ATS using a digital smart power meter and transmitted to the HMI via Modbus RTU link. Serving as the central Master node, the HMI executes Demand Side Management (DSM) strategies, including dynamic Time-of-Use (ToU).scheduling, active peak-clipping, and pump speed control. Simultaneously, PLC1 provides source-state feedback and manages generator automation, while PLC2 actuate magnetic contactors for sequential starting and selective AC load-shedding. Experimental results confirm the ability of system to response to different operation conditions to guarantee the optimum load management

Uploaded At: 2026-06-29 14:44:13

Project Title: CANGuard: An Explainable Machine-Learning Intrusion Detection System for In-Vehicle CAN Bus Networks

Description:
Abstract
Modern vehicles rely on the Controller Area Network (CAN) bus for real-time communication between their electronic control units. However, the CAN protocol was designed without authentication or encryption, leaving it exposed to cyber-attacks that can compromise vehicle safety. This project presents CANGuard, an intelligent intrusion detection system that classifies in-vehicle CAN traffic as either normal or as one of three attack types: Denial-of-Service (DoS), Fuzzy, and Impersonation. Instead of depending on heavy deep networks or on raw message timestamps, CANGuard extracts lightweight behavioral features from a sliding window of CAN messages and classifies them using a Gradient Boosting model. The system runs fully offline on standard Windows hardware, responds in about 4.3 milliseconds per decision, and explains every alarm in human-readable terms. Evaluated on unseen test data using a strict temporal split, CANGuard achieved 100% overall accuracy and a macro F1-score of 1.000. The results demonstrate an accurate, fast, and explainable solution suitable for real-world automotive deployment.

Uploaded At: 2026-07-04 18:57:11

Project Title: الكشف الآلي عن الأعطال وتصنيفها وتحديد موقعها في الحقول الشمسية باستخدام التعلم العميق والذكاء الاصطناعي

Description:
تُعدّ الطاقة الشمسية الكهروضوئية من أسرع تقنيات الطاقة المتجددة نموًا على مستوى العالم، إلا أن كفاءة وموثوقية هذه الأنظمة تتأثر بشكل كبير بالأعطال المختلفة، مثل تراكم الغبار، والتظليل الجزئي، والبقع الساخنة، والتشققات، والتآكل، وتسرب الرطوبة، وأعطال الثنائيات، والتي تؤدي إلى انخفاض إنتاج الطاقة وارتفاع تكاليف الصيانة. يعالج هذا المشروع تحدي الكشف الآلي عن الأعطال وتصنيفها وتحديد مواقعها في حقول الطاقة الشمسية الكهروضوئية من خلال تطوير نظام مراقبة ذكي يعتمد على الذكاء الاصطناعي والتعلم. يعتمد الحل المقترح على استخدام الشبكات العصبية الالتفافية) لتحليل الصور المرئية والحرارية الملتقطة للألواح الشمسية، مما يتيح التعرف التلقائي على أنواع متعددة من الأعطال وتصنيفها وتحديد مواقعها بدقة عالية. ويهدف المشروع إلى تحسين موثوقية وكفاءة تشغيل محطات الطاقة الشمسية، وتطوير عمليات الصيانة من خلال تقليل الاعتماد على الفحص اليدوي، وخفض زمن اكتشاف الأعطال، وتقليل التكاليف التشغيلية. وقد أظهرت النتائج التجريبية أن النموذج المقترح حقق دقة تصنيف بلغت 95.3%، مما يؤكد كفاءته في التشخيص الذكي للأعطال. كما يوفر النظام إطارًا عمليًا وقابلًا للتوسع لدعم المراقبة الآنية، والصيانة التنبؤية، مع إمكانية التكامل مستقبلًا مع الطائرات المسيّرة وتقنيات إنترنت الأشياء. ومن خلال تعزيز قدرات تشخيص الأعطال وتحسين استراتيجيات الصيانة، يسهم المشروع في تطوير أنظمة إدارة ذكية للطاقة المتجددة ودعم التشغيل المستدام لمحطات الطاقة الشمسية الكهروضوئية واسعة النطاق

Uploaded At: 2026-07-05 07:36:09

Project Title: SERHAT: A Real-Time Dual-Stage Acoustic Leak Detection and Localization System with Physics-Informed Learning and Federated Edge Intelligence

Description:
"SERHAT is an intelligent autonomous pipeline inspection system designed to address the critical safety and economic hazards of undetected gas leaks. By deploying a dual-stage AI pipeline—utilizing a Convolutional Neural Network (CNN) for real-time acoustic classification and a Physics-Informed Neural Network (PINN) for precise spatial localization—the system provides a reliable, noise-resilient alternative to traditional manual inspections. Beyond standard detection, SERHAT pioneers five engineering innovations, including Active Noise Isolation, predictive 'PRE_LEAK' metal fatigue identification, and privacy-preserving Federated Edge Learning, enabling collaborative model evolution across robotic fleets without transmitting raw audio data. Deployed on an edge-computing robotic platform, SERHAT delivers production-ready pipeline monitoring with 93.6% classification accuracy and 0.31m localization precision, ensuring operational safety and environmental integrity."

Uploaded At: 2026-07-05 06:43:28

Project Title: Design an education board for four stage elevator using plc and vfd drive

Description:
This project successfully designed and implemented an educational board for a four-stage elevator using a PLC and a variable frequency drive (VFD). The system demonstrates the basic principles of industrial automation, including elevator sequencing, motor speed control, safety interlocks, and floor selection. The PLC provides reliable logic control, while the VFD ensures smooth acceleration, deceleration, and efficient motor operation. The educational board offers a practical platform for students to understand programming, wiring, troubleshooting, and automation system integration. Overall, the project achieved its objectives and serves as an effective training tool for learning PLC and VFD applications in elevator control systems

Uploaded At: 2026-07-02 02:00:00

Project Title: Automatic Liquid Filling Line Controlled By A PLC And HMI System

Description:
This project addresses a significant problem in industrial automation and manufacturing systems, specifically the
inefficiencies and inaccuracies of manual liquid filling processes. The proposed solution is based on an automated
liquid filling line integrating a Programmable Logic Controller (PLC) for precise control logic and a Human-Machine
Interface (HMI) for real-time monitoring and parameter adjustment, with the aim of achieving a fully high-speed,
adaptive, and precise bottle-filling process. The expected outcomes include significantly improved volumetric
accuracy, reduced spill waste, minimized operational cycle time, and a user-friendly management terminal.

Uploaded At: 2026-06-30 17:06:14

Project Title: Aerodynamic Design and Structural Analysis of the VT290 VTOL UAV Wing

Description:
This project addresses a significant problem in aerospace engineering and UAV structural design. The proposed solution is based on a comparative structural stress analysis using Computational Fluid Dynamics (CFD) and Finite Element Analysis (FEA) to evaluate a NACA 2412 UAV wing equipped with winglets. The aim is to optimize structural weight and performance by comparing traditional Aluminum alloy (7075-T6) with Carbon Fiber Reinforced Polymers (CFRP). The expected outcomes include demonstrating the superiority of orthotropic CFRP in significantly reducing structural weight while maintaining an adequate Factor of Safety (FOS) under dynamic flight stresses. Furthermore, the study includes experimental validation using 3D-printed prototypes (PLA vs. PETG) to bridge the gap between theoretical FEA and real-world structural behavior.

Uploaded At: 2026-06-25 13:00:33

Project Title: Development of a LoRa-Based Tactical Unmanned Ground Vehicle with Biometric and Environmental Telemetry for GPS-Denied Disaster Environments

Description:
Rapid situational assessment is critical during disaster response operations, particularly in enclosed environments where structural instability, toxic gases, dense smoke, and communication failures place rescue personnel at significant risk. Conventional robotic systems typically rely on Wi-Fi or cellular networks, limiting their effectiveness in infrastructure-denied environments. This study presents the design and implementation of a LoRa-based Tactical Unmanned Ground Vehicle (TUGV) capable of operating independently of Internet and GPS services in hazardous disaster scenarios. The proposed platform integrates dual ESP-based embedded controllers with a long-range LoRa communication system to establish a reliable wireless link of up to 2 km. In addition to remote navigation, the vehicle continuously transmits environmental measurements and victims' biometric information, including heart rate and blood oxygen saturation, to a portable control station in real time. To enhance operational safety, the system incorporates fail-safe algorithms, obstacle avoidance, and encrypted local communication to ensure reliable operation during mission-critical situations. Experimental evaluation demonstrates stable wireless connectivity, low-latency command transmission, real-time sensor monitoring, and reliable vehicle control under simulated disaster conditions. The proposed system provides a cost-effective and practical solution for supporting rescue teams in GPS-denied and communication-disrupted environments while reducing the exposure of first responders to hazardous conditions.

Uploaded At: 2026-06-29 07:11:36