Applications 2024 – ATU Africa Innovation Challenge 2024

Section 1 - Identification & Background Details

I understand that this form can only be submitted once

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1. Name of Innovator or submitting institution
(Applying institutions must demonstrate that the submitted innovation was developed by young people under the age of 35)

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2. Sub-Region

3. Your Country

4. Physical address

5. Email Address:

6. Phone Number

7. Gender

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8. Institution Phone Number
(if applying as an institution)

9. Institution Email Address
(if applying as an institution)

10. Institution Website

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11. Age of innovator
(Must be under 35 years as of November 15, 2024)

12. Provide a brief description of yourself and your innovation background (Please include relevant education, professional experience, and any prior work with AI or related fields.)

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13. What inspired you to apply for this challenge?

14. How did you get to know about this Challenge?

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Section 2 – Key Details About the Innovation

For the purposes of the ATU Africa Innovation Challenge 2024, an innovation refers to an AI-based solution that addresses a specific challenge in key socio-economic sectors. The innovation can be in the form of a prototype or a fully developed product. The innovation should be original, scalable, and have the potential for significant social and economic impact.

1. Title of the Innovation

2. What problem does the innovation aim to solve?
Provide a clear, concise explanation of the specific problem your AI solution addresses. Include relevant data to support the problem’s significance.

3. Explain the AI technologies used in the innovation and their advantages.
Detail the specific AI techniques, tools, or frameworks utilized in the development of your innovation. Discuss why these technologies are best suited for solving the identified problem.

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4. Describe the technical architecture of the innovation
Provide a high-level overview of the system architecture, including hardware, software, and data sources used. Include diagrams where applicable.

5. Describe the stage of development of the innovation (e.g., prototype, fully developed)
Explain the current status of your AI solution. If in the prototype phase, describe the next steps required to bring it to market readiness.

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6. Who are the target beneficiaries of the innovation?
Specify how the innovation will address their needs.

7. How does the innovation ensure scalability and long-term sustainability?
Describe how the AI solution is designed to scale beyond the initial implementation. Include plans for managing increasing data volumes, computational needs, and broader market applicability.

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8. How do you ensure data privacy and security in your innovation?
Explain the measures taken to secure user data, ensure compliance with data protection laws, and maintain trust with users.

9. What are the innovation’s key technical achievements or milestones to date?
Highlight major milestones achieved, such as development phases completed, partnerships secured, or successful testing outcomes.

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10. What partnerships, if any, are involved in the innovation?
List any organizations or individuals contributing to the development or scaling of the innovation (e.g., academic institutions, industry experts, government entities etc).

11. Provide any links to information or demonstrations of the innovation (if available)
Include links to videos, product demos, or repositories showcasing the technical aspects of the AI solution.

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Section 3 – Beneficiaries and Future of the Innovation

1. Who are the intended beneficiaries of your innovation?

2. What impact will your innovation have on the beneficiaries?

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3. How does your innovation address inclusivity and accessibility?
Detail how your AI solution considers marginalized or underrepresented groups and ensures equal access for all potential users.

4. What type of support (financial, technical, mentorship) would you need to scale your innovation further?
Provide a clear breakdown of the resources you require to continue the development of your innovation. Specify the technical areas where additional mentorship or expertise is needed.

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5. How will you measure the success of your innovation?
Provide specific metrics that will be used to evaluate the performance and impact of the AI solution. These could include KPIs such as user adoption rates, error reduction, or cost savings.