/QML-for-Conspicuity-Detection-in-Production

Womanium Quantum+AI 2024 Project: QML for Conspicuity Detection in Production

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QML-for-Conspicuity-Detection-in-Production

Womanium Quantum+AI 2024 Projects

Do NOT delete/ edit the format of this read.me file.

Include all necessary information only as per the given format.

Project Information:

Team Size:

  • Maximum team size = 2
  • While individual participation is also welcome, we highly recommend team participation :)

Eligibility:

  • All nationalities, genders, and age groups are welcome to participate in the projects.
  • All team participants must be enrolled in Womanium Quantum+AI 2024.
  • Everyone is eligible to participate in this project and win Womanium grants.
  • Everyone is eligible for Womanium QSL fellowships with Fraunhofer.
  • All successful project submissions earn the Womanium Project Certificate.

Project Description:

  • Click here to view the project description.
  • YouTube recording of the project description - link

Project Submission:

All information in this section will be considered for project submission and judging.

Ensure your repository is public and submitted by August 9, 2024, 23:59pm US ET.

Ensure your repository does not contain any personal or team tokens/access information to access backends. Ensure your repository does not contain any third-party intellectual property (logos, company names, copied literature, or code). Any resources used must be open source or appropriately referenced.

Team Information:

Team Member 1:

  • Full name: Miguel Angel Ruiz Ortiz
  • Womanium Program Enrollment ID: WQ24-IelGwtOV9NlaALb

Project Solution:

Only Tasks 2, 3 and 4 delivered. Please check them, especially Tasks 2 and 4, because I have explained them with a high level of mathematics.

Project Presentation Deck:

NA