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Hackathon

Hackathon

Hackathon
Hackathon — Infomatrix 2026

Hackathon

A hackathon is a fast-paced, collaborative event where individuals or teams come together to develop software solutions within a short timeframe. Participants work intensively to create innovative projects.

Get ready for the Infomatrix 2025 finals! A day before the big event, you'll find out what the competition is about. Your task is to create a piece of software in just two days and present it to the judges on the final day. You can team up with up to four people. Both high school and secondary students will be competing in the same category, while university students will have their own category.
// Team Size
Up to 4 students per team
// Age Range
7–18 yrs (K-12) · 16+ yrs (University)
Evaluation Rubrics
7 criteria
01 Originality / Creativity +
Evaluate the extent to which the programming project demonstrates innovative thinking and creativity. Look for unique solutions, novel features, or inventive approaches that set the project apart and showcase the student's imaginative problem-solving skills.
02 Practicality +
Assess the practical utility of the programming project. Consider how well the software addresses a real-world problem or enhances an existing process. Practicality emphasizes the project's relevance and potential impact on users or stakeholders.
03 UI / UX +
Examine the user interface and overall user experience of the software. Evaluate the design aesthetics, user-friendliness, and the intuitive nature of the interface. Look for effective usability features that contribute to a positive and seamless user experience.
04 Functionality +
Assess the functionality of the programming project by evaluating how well it performs its intended tasks. Consider the completeness and efficiency of the implemented features, ensuring that the software meets or exceeds the specified requirements.
05 Technical Skills +
Evaluate the student's technical proficiency in programming languages and tools used in the project. Consider the complexity of algorithms, coding practices, and the ability to implement advanced technical features. This criterion focuses on the depth of the student's programming expertise.
06 Responsible AI Usage +
AI use is encouraged. Judge how ethically and professionally AI is applied: (1) Transparency—clear citation of tools/models/versions and representative prompts; (2) Appropriateness—AI chosen for the right tasks and adds value; (3) Human oversight—students review, edit, and verify outputs; (4) Compliance—respect for licensing, attribution, privacy, and safety; (5) Quality—AI outputs integrated cleanly into the product and reproducible via documented steps. Projects without AI are not penalized but will score lower here unless they justify the choice and demonstrate alternative automation or rigorous manual craft.
07 Oral Presentation +
Assess the student's ability to communicate and articulate their programming project effectively. Evaluate how well the student presents the project, explains its features, and responds to questions. Effective oral presentation skills enhance the project's overall impact. The presentation language is English.