AI Competition

Design an AI-powered solution that solves a real challenge faced by students in their daily academic or personal lives.

Point of Contact

Omar Abdul Latif
Assistant Professor of Electrical and Computer Engineering
Electrical Engineering Department
04-3712052

Prepared Competition

This competition requires thorough advanced preparation. While the actual judging and live performance will take place onsite on the day of the event, participants must design, practice, and finalize their entries beforehand according to the provided guidelines.

AI for Student Life: Making High School Smarter, Healthier, and More Connected.
The goal of this competition is to challenge high school students to design and build an AI-powered solution that addresses a real problem faced by high school students in their daily academic or personal lives.
Teams are encouraged to identify a specific student-life challenge and develop an innovative AI solution that can help students make better use of their time, manage responsibilities, access information, communicate, stay organized, or improve their overall school experience. The solution should focus on a realistic and clearly defined student need, rather than simply adding AI to an existing application.

Guidelines

1.1

Eligibility

01 The competition is open to high school students.
02 Each school may participate with one team.
03 Each team may have up to 3 students.
04 Students should be able to explain and demonstrate their own work.
05 All submissions must be original work created specifically for the competition.
06 Third-party libraries, APIs, frameworks, datasets, and open-source tools may be used, provided that appropriate attribution is given.
07 AI tools may be used during development, but teams must be able to explain how AI was used and what decisions were made by the students.

1.2

Competition Objective

Each team must develop a functioning AI-based solution that addresses a specific problem faced by high school students.

01

Identify a Problem

Identify a specific problem affecting high school students.

02

Define the User

Define a clear target user who would benefit from the solution.

03

Design an AI Solution

Design an AI-based solution that directly addresses the identified problem.

04

Build a Prototype

Build a functioning prototype that demonstrates the proposed solution.

05

Test with Realistic Scenarios

Test the solution using realistic scenarios based on student needs.

06

Improve the Prototype

Refine and improve the prototype based on testing and feedback.

07

Use AI Responsibly

Demonstrate responsible, inclusive, and thoughtful use of AI.

The Challenge

“What problem do high school students face, and how can AI help solve it?”

AI Requirement

The project must contain a meaningful AI component. AI should contribute directly to solving the identified problem rather than simply being used as a decorative or superficial feature.

Not Meaningful AI

An ordinary calendar application would not satisfy the competition requirements simply because it contains a calendar.

Meaningful AI

An application that analyzes a student's classes, assignments, deadlines, available time, and previous behavior, then generates and continuously adjusts a personalized schedule, would demonstrate meaningful AI functionality.

Key principle: AI should play a meaningful role in how the solution understands the problem, makes decisions, generates outputs, or adapts to the user.

Specifications

01

Platform

The system must run on Windows, macOS, Android, or iOS platforms.
Web-based applications should support major browsers, including Chrome, Firefox, and Safari.
02

Programming Languages

Students may use any programming languages and frameworks suitable for their project, such as Python, JavaScript, Swift, or Java.
AI libraries such as TensorFlow, PyTorch, and Scikit-learn are permitted.
03

AI Integration

The project must include AI-based functionality. Examples include:

Study Schedule Optimization

Create personalized timetables based on subject load, exam dates, and student input.

Workload Prediction

Forecast how much time different subjects or tasks may take based on historical patterns.

Adaptive Reminders

Suggest breaks, revision cycles, and study sessions based on performance and progress.

04

Data Requirements

Teams may use publicly available datasets, such as time-management studies and student productivity datasets, or generate their own synthetic data.
Data privacy must be respected. Personally identifiable information (PII) must not be used without appropriate consent.
05

User Interface

The system must provide a user-friendly interface that allows students to interact with the system without previous training.

Showcase

Maximum Presentation Time

Teams must present and demonstrate their solution within the allotted time.

5 MINUTES

Your presentation should cover

01

Problem

Clearly explain the problem being addressed.

02

Target Users

Identify who the solution is designed to help.

03

Solution

Explain how the proposed solution addresses the problem.

04

AI Component

Show how AI contributes meaningfully to the solution.

05

Working Prototype

Present the functioning prototype.

06

Main User Journey

Demonstrate the key steps a user takes through the solution.

07

Testing & Improvement

Explain what was tested and how the solution was improved.

08

Responsible AI

Identify a key limitation or responsible-AI consideration.

Team Participation

Every team member should be prepared to explain their contribution and answer questions about the project.

Testing Process

 

Evaluation Process

How Projects Will Be Evaluated

STAGE
01

Submission Review

Judges will review the submitted materials:

Project report Prototype Presentation / demo AI development documentation

The submission will be checked for completeness and basic functionality.

STAGE
02

Problem and User Evaluation

Judges will ask teams:

What specific problem are you solving?

Who is your target user?

How did you identify this problem?

Why would a student use your solution?

How did the user's needs influence your design?

STAGE
03

Prototype Testing

Judges will perform a realistic user scenario appropriate to the project.

Example Scenario

“A student has three assignments due this week, two upcoming exams, two extracurricular activities, and only two hours available for studying each day.”

The team should demonstrate how its system responds.

For other projects, judges may create an appropriate scenario based on the team's stated problem.

Evaluation will consider

✓ Whether the main user journey works.
✓ Whether the AI feature functions.
✓ Whether the interface is understandable.
✓ Whether the solution addresses the stated problem.
STAGE
04

AI Testing

Judges may provide different inputs or scenarios to determine whether the AI system can appropriately respond.

01 Change the student's available time.
02 Add an urgent assignment.
03 Change an exam date.
04 Provide incomplete information.
05 Provide conflicting requirements.
06 Ask an unexpected question.
07 Introduce a new student profile.

Judges will evaluate whether the system produces reasonable results and whether the students understand the limitations of those results.

STAGE
05

Testing and Improvement

Teams should demonstrate at least one example of how testing led to an improvement.

01
Problem discovered
→
02
Testing
→
03
Change made
→
04
Improved result

Be prepared to answer

“What was one thing that did not work during development, and what did you change because of it?”

Teams should also identify what still needs improvement.

Evaluation

Scoring Framework

Evaluation Rubric

Level
Criterion
Strong
Highest performance range
Developing
Partial achievement
Limited
Significant gaps remain
01

Problem and users

15 POINTS
12-15 · STRONG Defines a specific, worthwhile problem and a clear target user. Explains the user’s needs and shows how those needs shaped the solution.
8-11 · DEVELOPING Identifies a problem and target user, but the need is broad or the connection between the need and solution is only partly clear.
0-7 · LIMITED The problem or target user is unclear. The team cannot explain why someone would use the product.
02

AI thinking and prompting

20 POINTS
16-20 · STRONG Shows purposeful prompt revisions. Explains what the AI produced, what the team accepted or changed, and why. Demonstrates critical judgment rather than relying on the first output.
10-15 · DEVELOPING Shows some prompt revision and can describe parts of the build process, but gives limited reasons for accepting or changing AI suggestions.
0-9 · LIMITED Provides little evidence of iteration. The team cannot explain how prompts affected the result or what decisions it made.
03

Working prototype

25 POINTS
20-25 · STRONG The main user journey works during the demo. Features address the stated problem, navigation is understandable, and the team can explain how a user would complete the key task.
13-19 · DEVELOPING The prototype demonstrates its main idea, but some essential steps are incomplete, unreliable, or confusing.
0-12 · LIMITED The main task cannot be demonstrated, or the prototype has little connection to the stated problem.
04

Testing and improvement

15 POINTS
12-15 · STRONG Tests realistic user scenarios, identifies a specific issue, and demonstrates a meaningful change made in response. Explains what still needs work.
8-11 · DEVELOPING Performs some testing and identifies issues, but improvements are minor, incomplete, or difficult to verify.
0-7 · LIMITED Shows little evidence of testing or cannot identify an issue discovered during the build.
05

Responsible and inclusive design

15 POINTS
12-15 · STRONG Makes thoughtful choices about privacy, accuracy, accessibility, and possible misuse. Avoids unnecessary personal data and explains where human review is needed, especially if the product gives AI-generated advice or information.
8-11 · DEVELOPING Recognizes some risks and includes basic safeguards, but misses a relevant issue or cannot fully explain its choices.
0-7 · LIMITED Overlooks significant privacy, accuracy, accessibility, or misuse concerns. Presents AI output as unquestionably reliable.
06

Presentation and teamwork

10 POINTS
8-10 · STRONG Gives a focused explanation and clear live demo. Team members can describe their contributions and answer questions about design choices and limitations.
5-7 · DEVELOPING Communicates the idea and shows the prototype, but the explanation, demo, or account of team contributions lacks clarity.
0-4 · LIMITED The presentation is difficult to follow, the key task is not shown, or team members cannot explain their work.
Total Evaluation
Six criteria · 100 points
100 POINTS

Registration

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Website last updated: October 2, 2026