About The Competition 

       This competition challenges students, developers, professionals, and researchers to develop and demonstrate how humans can collaborate with powerful Artificial Intelligence (AI) technologies to tackle challenges for different and practical applications. This opportunity will also raise awareness of AI technologies globally, support building capacity in this timely and crucial area, and provide a platform for participants to share AI ideas and applications. Participants should highlight the impact of their proposed solutions on society.

 

The participants are required to submit a “Concept & Proof of Concept or Demo”.

The competition consists of 5 phases:

 

Idea Submission Deadline	April 1, 2024
Announcement of Shortlisted Ideas	April 4, 2024
Project Testing and Demos (track 2)	April 15, 2024
Announcement of winners	April 21, 2024

     The competition is seeking creative and innovative AI solutions, which can be deployed to resolve practical problems, including but not limited to: 

• Challenge 1: Healthcare Solutions 
• Challenge 2: Smart Cities 
• Challenge 3: Fintech  
• Challenge 4: Education 
• Challenge 5: Crowd Monitoring and Behavior analysis 
• Challenge 6: Logistics and Supply Chain 
• Challenge 7: Agriculture
• Challenge 8: Drones and Unmanned Aerial Vehicles

The competition: Proof of concept  

       The teams are requested to articulate them describe their concept and proof of concept in the form of a technical presentation that must be delivered to elucidate the proposed solution and the conducted experimentations, in addition to a demo to demonstrate the actual implementation of the proposed solution. The evaluation criteria for this track will be on the innovative idea (25%), the feasibility of implementation (25%), the performance (25%), and the impact of the proposed solution on society (25%).    

Eligibility for Participation

   The competition is open to all individuals. High school students, undergraduate students, and graduate students are able to participate in the competition. Experts (e.g., professors and/or professionals) can act as mentors for high school, undergraduate, and graduate students. Mentors’ efforts will be acknowledged, and a certificate will be provided. Participants are eligible to participate either individually or as a team. The maximum number in a team shall not exceed 5 participants.

 

Jury Members

• Assist. Prof. Dr. Dr. Raid Al-Nima Northern Technical University Technical Engineering College of Mosul • Professor Dr Che Zalina Zulkifli Faculty of Computing and Meta Technology Centre of Embedded Edu-Green Technology Sultan Idris Education University • Dr. Tingting Han Department of Computer Science and Information Systems Birkbeck, University of London • Dr. Mohammed Asim Al-Salem Department of Management Information System College of Administration And Economics University of Mosul • Dr. Abdullah Hussein Abdullah Alamoodi Faculty of Computing and Meta Technology Universiti Pendidikan Sultan Idris

Prizes and Notification of Winners:

The prizes will be provided for a single individual or one team. There are 3 prizes in total, first place, second place, and third place. Prizes of the total of 6000,000 Iraqi Dinar.

  

Main Challenges 

Problem 1: Healthcare Solutions 

     Artificial intelligence plays a vital role in the field of healthcare. It is capable of providing fast approximate conclusions to speed up diagnoses even without direct human involvement. Diverse intelligent healthcare solutions have been proposed to tackle society, varying from personalized, real time-monitoring, and self-diagnosis, among others.  

Problem 2: AI in Smart Cities 

     Artificial Intelligence (AI) for smart cities solutions has several advantages that support improving life quality. AI in smart cities has demonstrated its effectiveness through different aspects such as pollution reduction, noise, and traffic congestion through smart traffic light systems. In the context of smart cities, the AI may include prediction and potential failure, automatic objects recognition, facial recognition, or diverse sorts of processing personal data for personalization and safety aspects.  

Problem 3: Fintech and AI 

    The deployment of AI in the financial technology (Fintech) sector demonstrated its effectiveness in facilitating transactions, analyzing information, streamlining processes, and improving numerous financial services. For this reason, AI is now considered a crucial element for many Fintech solutions. It enabled saving time, effort, and money in both small and large organizations. Thus, it creates a better environment to meet the customers’ needs. While the use of AI in Fintech is advantageous, a considerable number of challenges can be counted. This includes, but not limited to, identification of the domain of knowledge, detection of biased information in data, the truth of the processed records, misconceptions, and others.  

Problem 4: AI in Education 

    Artificial intelligence has a significant impact on education in that it can support and improve the process of learning. AI-based platforms can facilitate the learning process. Furthermore, creating AI-based applications that serve not only the students but also the instructors calls for special attention. Education at any time, complying with the requirements of students, the needs of society, students’ progress tracking, curriculum improvement, seamless identification of challenges in the education process, and employment of mobiles in education are among the features inherited from the deployment of AI in education.  

Problem 5: Crowd monitoring and behavior analysis 

      It is of paramount importance to have reliable and real-time surveillance systems. As camera-based surveillance becomes ubiquitous, the amount of data to be processed grows along with the camera network presence and with the demand for human resources to interpret the data. This project aims to monitor and detect certain “security threats” in real-time over the live surveillance camera network, addressing the community’s needs.  

Problem 6: Logistics impacting the supply chain

     Artificial Intelligence for mitigating logistics impacting supply chain and security challenges is of utmost importance to many nations across the globe. The skyrocketed penetration of AI in our daily lives affects the economy, supports smart work and operation, advances smart transportation, develops smart optimization, improves predictive logistics, and enhances risk management.

 

Problem 7: Agriculture

Artificial Intelligence (AI) has the potential to significantly impact the field of agriculture by introducing innovative solutions to various challenges like Precision Farming, Crop Monitoring and Management, Autonomous Vehicles and Machinery, Crop Breeding, Farm Management Systems, Pest and Disease Identification, and Weather Prediction.

 

Problem 8: Drones and Unmanned Aerial Vehicles

Drones and Unmanned aerial vehicles are employed for a variety of purposes and are becoming extremely popular. Recent advancements in unmanned drones and artificial intelligence have created a new opportunity for independent flying and maintenance. Artificial intelligence and deep learning are already driving the advancement of unmanned aerial vehicles and ensuring their independent future. Computer vision has made significant advances in image feature extraction and classification, as well as object recognition, making this a very appealing research subject when used on unmanned aerial vehicles.

Contact Information: Email: aiia@ntu.edu.iq Phone Number: +9647508785150