Tools and Platforms:

• AI-Wonder and GPT:

  • AI- Wonder: A no-code tool for data analysis and predictive AI model development. Simply upload data, and it automatically explores, builds models, and performs predictions.

  • GPT (Generative Pre-trained Transformer): A generative AI integrated into AI-Wonder. Participants can use this tool to generate unique policy proposals based on the analyzed data.

• AI-Wonder developed by canAI:

  • A platform equipped with top-notch features for automatically creating AI models. Participants can use this platform for data analysis and creating optimized AI models.

  • Leveraging the provided datasets, participants can utilize AI-Wonder to develop optimized AI models and simulate the impact of their policy proposals. For example, if the policy is to minimize fires in Hanoi by installing specific life-saving structures and securing escape routes in certain buildings, the AI can predict the outcome in terms of fire-related fatalities.

 

Data Provision:

• The competition organizers provide participants with datasets related to specific topics. For example, datasets related to "Hanoi fire incidents" may be provided, focusing on data relevant to the competition's theme.

 

Data Analysis and Visualization:

• Participants are equipped with tools by the organizers. They upload the datasets to AI-Wonder, which automatically analyzes the data's correlations. AI-Wonder also provides visualizations to help participants interpret key features and trends within the data.

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Generative AI for Policy Proposal:

• Using AI- Wonder's analyzed results, participants work with GPT to formulate concrete policy proposals through questions and requests. For instance, they might propose specific policy measures like "Drafting a detailed policy implementation plan for fire safety in Hanoi, taking into account the unique characteristics of Hanoi's housing structures." Further details are added by considering the housing structures and residents' lifestyles in Hanoi.

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AI Model Implementation:

• Participants can use tools such as AI-Wonder to automatically implement AI models if needed. These models bridge the gap between the data and policy proposals.

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Simulation:

• Participants utilize the AI models developed with AI-Wonder to run simulations. This process helps them understand how policies affect real scenarios and generate counterfactuals.

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Presentation:

• Participants create detailed reports using platforms like TWD canAI, showcasing their policy proposals and simulation results. These presentations are given live at the end of the competition.

 

Message to Participants:

This competition offers you the opportunity to tackle real-world problems using data and AI. Your participation and creative efforts are highly encouraged, and outstanding projects will receive awards and recognition.

By participating in the Data-Based Artificial Intelligence Utilization Competition, you can gain valuable experience in data science, machine learning, and AI while contributing to solving real-world issues.

Detailed schedules and rules will be provided on the day of the competition. If you have any additional questions or need further information about the competition, please feel free to reach out at any time.

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🌟 Don't miss this unique opportunity to redefine the boundaries of your capabilities and research. 🌟

Ready to Embark on a Transdisciplinary Journey?

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Apply Now by Emailing Us : team@aijam.org!"