Artificial Intelligence National Competition - AI For 2022

About the Competition

This is a national competition challenging students, developers, professionals and researchers to develop and demonstrate how humans can collaborate with powerful Artificial Intelligence (AI) technologies to tackle some challenges and relevant problems to Qatar 2022 World Cup. This opportunity will also raise awareness of AI technologies in Qatar and will provide a platform for participants to share AI ideas and applications.

AI national competition is accepting submissions until 1^st of January, 2020. The competition consists of two levels and participants are required to submit either a “Concept & Design” or “Proof of Concept & Demo”.

Level 1 of the competition: Concept and Design

Level 2 of the competition: Proof of concept and Demos

Only one submission will be considered later in the evaluation stage and we encourage the participants to register early, so that you can begin to plan and build their solution and demos, and submit them on time.

The competition will recognize the developers who are paving the path for future innovative AI technologies which can be deployed to support infrastructure and address challenges in Qatar 2022 World Cup.

We are looking for AI solutions, which can be deployed to resolve the following problems:

Problem 1: Automatic and real-time detection of trolls over social media
Problem 2: Real-time AI solutions for assisting referees to take prompt decisions
Problem 3: Crowd monitoring and behavior analysis
Problem 4: Detection and prevention of attacks and malware in IoT based systems for 2022 World Cup data collection and analysis

The ideas and solutions will be evaluated based on innovation, complexity, feasibility for implementation and cost. 

Levels Details  

The details of the two levels are as follows:

Level 1 of the competition: Concept and Design

The teams are requested to describe their concept and design in a form of an article. A presentation that shows the proposed solution must be presented in front the juries. The evaluation criteria for this level will be mainly on your innovative idea (60%) and on the feasibility of implementation (40%).

Level 2 of the competition: Proof of concept and Demos

In this level, the teams are requested to articulate their proof of concept in a form of detailed article. A technical presentation must be done to show the proposed solution and the conducted experimentations. In addition to a live demo to demonstrate the actual implementation of the proposed solution. The evaluation criteria for this level will be on the innovative idea (30%), feasibility of implementation (30%), and the performance (40%).

The article and the presentation must be submitted before the deadline. The templates of articles for Level 1 and Level 2 can be downloaded from here:

Level 1: Conecpt and Design template

Level 2: Proof of Concept template

Eligibility for Participation

AI national competition is open to all individuals who are living in the state of Qatar. It is restricted to professions in Qatar and academics in Universities. Qatari high school students can participate in the competition. Participants can be supervised by professors and/or professionals who are listed in the committee member. Participants are eligible to participate either individually or as team. The maximum number in a team shall not exceed 3 participants.
There is restriction on one submission per single participant or one team.

Data Protection and Confidentiality Agreement

By joining the competition, the participants must provide their personal information which will be used by the organizers for the administration purposes and prize pursuance. All applications will be processed confidentially. Selected ideas may get further funding support. The organizers reserve the right to cancel an application if any kind of violation has been detected.

Prizes and Notification of Winners

The prizes of the AI national competition will be provided for single individual or one team.
There are 6 prizes in total, 3 for each level.  The prizes, per each level, are as follows:

CHALLENGES

PROBLEM 1:

Automatic and real-time detection of trolls over social medial  

With the widespread of social media and its huge impact on people's lives, we are witnessing the rise of "digital trolls" (i.e., accounts controlled by a group of people who are explicitly paid to support specific political agenda on social media) that try to influence the public opinion, spread fake news and hate speech, impose (at best) a cloudy image of how communities really react to significant events, and trick automated analytical tools that aim to understand the stance of people regarding important national issues. The goal is tackle this problem by proposing and/or developing a system that can help dynamically identify those trolls/accounts and thus mitigate their effect.

PROBLEM 2:

Crowd monitoring and behavior analysis

It is of paramount importance to have reliable and real-time surveillance system especially for a major upcoming event such as WC-2022 in Qatar. As the camera-based surveillance becomes ubiquitous, the amount of data to be processed grows along with the camera network present and with the demand for manpower to interpret the data. This project aims to monitor and detect certain “security threats” in real-time over the live surveillance camera network in Qatar. The proposed system, Deep C-Vision, should combine the power of Deep Learning and Computer Vision, and should be able to be integrated to the Qatar control center of city surveillance cameras. The project should be executed in two phases. In Phase-1, the “Proof-of-Concept” should be realized which will show the potential and the outcome of the Deep C-Vision prototype system that can monitor and detect certain security threats over one or few live video feeds. If the results met the objectives and expectations, then in the Phase-2, the system should scale up to monitor all major surveillance cameras in the control center in real time.

PROBLEM 3:

Real-time AI solutions for assisting referees to take prompt decisions

Each football match is controlled by a referee who has the full authority to enforce the Laws of the Game of the match. In this problem, the main aim is to propose an intelligent solution to assist the referee in providing more accurate decision whenever there is a penalty, fall, or any kind of fouls or cheating. The intelligent solution must provide, in real-time, fashion, the needed guidance and assistance to the referee to keep the match performing without missing important circumstance and without deceptions. Computer-vision techniques and deep learning techniques can be employed to satisfy the requirement of the proposed solution. In addition, the solution must be accurate and should satisfy FIFA rules and regulations.

PROBLEM 4:

Detection and prevention of attacks and malware in IoT based systems for 2022 World Cup data collection and analysis

With the recent development of technology, Internet of Things (IoT) is capable to revolutionize diversified kind of sports for its players, coaches, event organizers and supporters. Cyberattack is any sort of offensive behaviors that target digitized information to seal data, modify records, destroy content, or to perform other illegal action. Malwares, in the other hand, are programmed to run by themselves to attain the desired attack(s). Nowadays, IoT technologies and artificial intelligence (AI) algorithms can help in revealing attacks and malwares. The main aim of this problem is to propose a solution that can promptly detect attacks or malwares and apprehend the offender. As an example in this context, an attacker may access the Wi-Fi network in hotels to snoop, or spy, on guest to steal financial information. 

SUBMISSION