Interdisciplinary Authors - March 2023

This project will begin March 1st following a kick-off meeting and orientation for all student-hires. The end-date for the project and deliverable submission deadline is March 31st at 11:59 PM MST. The Antarctic Institute of Canada (AIC) is a non-profit organization that conducts research activities, academic mentorship programs, and equity building through a variety of government-funded work initiatives for undergraduate and graduate students. The AIC is seeking 100 post-secondary students currently enrolled in a post-secondary program to author a variety of texts for publication. Topics and guidelines will be determined following the kick-off meeting. Participants will produce a finalised deliverable of a minimum 3000-word article. Applicants must be comfortable writing according to a variety of conventions and formats and within diverse topic-areas. Applications will only be accepted if the team name is your first and last name. Do not apply in teams.

Interdisciplinary Authors - October 2023

This project will begin following a kick-off meeting and orientation for all student-hires. The Antarctic Institute of Canada (AIC) is a non-profit organization that conducts research activities, academic mentorship programs, and equity building through a variety of government-funded work initiatives for undergraduate and graduate students. The AIC is seeking post-secondary students currently enrolled in a post-secondary program to author a variety of texts for publication. Topics and guidelines will be determined following the kick-off meeting. Participants will produce a finalised deliverable of a minimum 4500-word article. Applicants must be comfortable writing according to a variety of conventions and formats and within diverse topic-areas. Contact antarcticinstituteofficial@gmail.com for questions.

Dental Image Annotation for AI Training

The project aims to enhance Okare AI's dental image database by accurately annotating a set of dental images. This task is crucial for developing and training machine learning models that can assist in dental diagnostics. The project will provide learners with the opportunity to apply their knowledge of image processing and annotation techniques. The team will work with a predefined set of dental images, focusing on identifying and labeling key features such as teeth, cavities, and other dental structures. By completing this project, learners will contribute to the advancement of AI technology in the dental field, while gaining practical experience in data annotation and understanding the nuances of dental imagery. Key tasks include: - Reviewing and understanding the annotation guidelines provided by Okare AI. - Annotating a set of dental images with high accuracy. - Ensuring consistency and quality across all annotated images. - Collaborating with team members to resolve any ambiguities in the annotation process.