Ended on 21st May'23 04:00 PM (Coordinated Universal Time)

Global AI HackFest 2023 | Education, Finance & Tech

The AI hackathon to unleash your creativity and build innovative and impactful solutions

Easy

Organized By:

Organized By:

AI Planet

Rewards:

Rewards:

$3000

Challenge Starts

28 Apr 04:00 pm

Registration Ends

21 May 04:00 pm

Challenge Ends

21 May 04:00 pm

About the Datasets

For the AI hackathon in Education, Finance and Tech, participants are encouraged to use open source datasets to develop their solutions. Open source datasets are freely available data collections that can be used by anyone for research, development, and other purposes. 

Evaluation criteria

  • Impact and Relevance (30%): The impact of the solution in addressing the problem statement and the relevance of the solution to real-world problems.

  • Business value (30%): The solution has a strong market need or has the potential to be developed as a new product or service.

  • Creativity and Innovation (20%): The extent to which the team demonstrates creative and innovative solutions to the problem statement.

  • Technical Quality(20%): The technical quality of the solution, including the use of appropriate algorithms, programming languages, and tools. The quality and readability of the code, including the use of best practices, comments, and documentation.

           Bonus points for individuals and teams using AI marketplace apps (
https://aimarketplace.co/models/
) in developing a usable product.

Submission Guidelines

  • Each team must submit a working AI solution that addresses the domain and theme for the hackathon.

  • The solution must be based on open source data, and must be original work of the team.

  • The solution should be accompanied by a detailed technical report that explains the approach taken, algorithms used, and the technical implementation of the solution.

  • The report should also include any limitations, assumptions, and potential areas for improvement of the solution.

  • The finalists must provide all the necessary documentation, code, and resources required to run and test the solution.

Submission Template

https://colab.research.google.com/drive/1YloivKbxYcea6OCaeaNPBN9gXWa1Opvt?usp=sharing

  • Include all the required information and all the additional information as mentioned in the template and as applicable to the problem and solution.

  • Jupyter notebook code or link to code repositories

  • Working prototype (Streamlit or Gradio or others)

  • Detailed documentation (within Jupyter notebook or separate file)

  • Working prototype with a video presentation

 

Good luck to all participants!

This website uses cookies to ensure you get the best experience. Learn more