Artificial Intelligence & Machine Learning

Closed
Main contact
Veras Technologies Inc.
Calgary, Alberta, Canada
Peter Hurd-Watler
CEO
(34)
4
Project
Academic experience
120 hours of work total
Learner
Alberta, Canada
Advanced level

Project scope

Categories
Data analysis Data modelling Software development Machine learning Artificial intelligence
Skills
github machine learning data modeling front end design artificial intelligence research
Details

We want to use our dataset, based on our current users and their activities, and leverage the latest technology to gain an advantage in our market. We would like to collaborate with students to apply the latest AI and machine learning techniques to our dataset to gather new and exciting insights that our organization can leverage.

We would like a student to analyze our dataset, apply AI, ML and data modelling techniques, and come up with some potential applications for how we can apply AI within our Survey Insights Engine

This will involve:

  • Conduct background research on our existing product and the dataset.
  • Conduct research into the latest AI and ML techniques and how they could be applied to our data.
  • Developing ML / AI models which provides quantitative and written survey responses summarization
Deliverables

By the end of the project, student should submit final code that:

  • Provides quantitative and written survey responses summarization
  • Is connected to our existing frontend and backend on AWS
  • Is updated regularly on out GitHub
Mentorship

Students will connect directly with us for mentorship throughout the project. We will be able to provide answers to questions such as:

  • Current product understanding based on customer feedback
  • Advanced learning in software development such as GitHub and AWS
  • Working with a team of other software developers

About the company

Company
Calgary, Alberta, Canada
2 - 10 employees
Business services, Technology

Veras Technologies Inc. is a Survey Insights Engine that generates fast, concise, and actionable insights from quantitative and written survey responses.