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Competition

Show your skills and compete for success in our exciting challenge

Competition Overview

Our AI competition encourages students to showcase their creativity and technical skills by solving real-world problems using AI. Participants will be judged on innovation, practicality and technical accuracy across various grade levels. The contest fosters learning, problem-solving and collaboration. It's an exciting opportunity to explore AI and make a real impact.

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I am Scientist

Categories by Grade Level

Grade 3-4

  • Creativity: The originality of the project idea, how unique and imaginative it is in its approach.
  • Simplicity: How well the project conveys complex ideas in an easy-to-understand way, making it suitable for younger learners.
  • Functionality: The practical use and effectiveness of the project. Does it work as intended?
  • Clarity: How clear and straightforward the project's explanation and design are.
  • Presentation: The way the project is shown, including its visual appeal, how well it’s organized and how easy it is to follow.
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Illustrative image

Grade 5–6

  • Innovation: The creativity and uniqueness in addressing a problem or challenge. Does the project offer a new perspective or method?
  • Problem-Solving: How effectively the project tackles the problem at hand, including its practical applications.
  • Practicality: How feasible and usable the project is in the real world. Can it be applied beyond the contest?
  • Design: The visual and structural design of the project, including how well it is organized and how it enhances the solution.
  • Communication: The ability to clearly explain the project, its purpose and its steps. How well does the student present their work to others?

Category 2: Grade 7-8

  • Originality: The uniqueness of the solution, how fresh and different the approach is to solving the problem.
  • Feasibility: How realistic and practical the solution is, including its potential to be implemented.
  • Technical Skill: The use of advanced techniques or technologies in the project, showing how well the student can apply technical knowledge.
  • Impact: The potential effect the project could have, especially in solving real-world problems.
  • Structure: How well the project is organized and whether it is easy to understand and navigate.
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Grade 9-10

  • Complexity: The level of difficulty involved in creating the project, including the depth of knowledge and skills required.
  • Relevance: How well the project relates to current issues or trends in the field of AI or technology.
  • Accuracy: The precision of the work, including how well the data is handled and how correct the methods are.
  • Creativity: The degree of inventiveness shown in developing solutions or presenting the project in an original way.
  • Execution: How well the project is implemented, including its technical quality, functionality, and overall effectiveness.

Grade 11-12

  • Mastery: The level of expertise demonstrated in the project, showing a deep understanding of the concepts.
  • Depth: The depth of research and thought put into the project, including its complexity and thoroughness.
  • Application: The real-world relevance and potential application of the solution, and how effectively it addresses a problem.
  • Precision: The attention to detail and technical accuracy in the execution of the project.
  • Innovation: The extent to which the project introduces new ideas, concepts, or solutions that push the boundaries of AI or technology.
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