Flow:

  • Being a member of the TFUG Telegram Groups is a must. If you have not joined already please do so:

    It’s important to join the groups because all the communications will be done via them.

  • Maintain the code of your project on GitHub as a standalone repository. The GitHub repository must include:

    • Detailed documentation about your project
    • Working demo

  • We will select projects to showcase, call them for presentation, and host a live stream.

Rules:

  • Once your project is done please add your project to Made With ML using this link, your project will automatically get added to this collection. We will be evaluating the projects from this collection only so please don’t forget to add your project once it is done.

  • You can add as many projects as you can.
  • Please provide a detailed description of your project while adding to the aforementioned collection and also provide your email id so that we can contact you if needed.
  • If you are participating in a team, the team can contain no more than three members.
  • Your project must substantially showcase the use of machine learning otherwise it will be disqualified.
  • The project must not be based on datasets that can potentially impact decisions on the basis of bias, gender, race, and so on. Examples include facial recognition systems.
On using someone else’s work, public datasets, etc:
  • You are free to use someone else’s (opensource) work as long as it is duly cited.
  • Plagiarism of any form will lead to disqualification.
  • You are free to use any public dataset for your project.
Evaluation criteria:
  • Working Demo (video): 3 credits
  • GitHub Repo (with full code) : 5 credits
  • Installable APK/ web version of the product: 5 credits
  • Impact: 7 credits