AI Capstone Collaboration for Real-World Solutions

COMP 385
Open Closing on January 20, 2025
Centennial College
Toronto, Ontario, Canada
Roma Santos-Butler She / Her
Employer Relations Coordinator
(2)
6
Timeline
  • January 21, 2025
    Experience start
  • January 21, 2025
    Project Proposal and scope
  • February 15, 2025
    Progress report #1
  • February 22, 2025
    Prototype demonstration #1
  • March 15, 2025
    Progress report #2 & Prototype demonstration
  • March 29, 2025
    Final report & Final demo
  • March 29, 2025
    Experience end
Experience
2/8 project matches
Dates set by experience
Preferred companies
Ontario, Canada
Any company type
Any industries
Categories
Information technology Software development Artificial intelligence
Skills
effective communication communication constructive feedback research design scalability technical report artificial intelligence innovation data analysis
Learner goals and capabilities

Centennial College’s AI Capstone Project learners collaborate to research, design, and develop AI-driven applications that solve real-world problems. They bring expertise in AI techniques and data analysis to deliver innovative and scalable applications integrated with AI capabilities. Throughout this experience, students will develop their skills in ethical AI practices, advanced programming, and effective communication with both technical and non-technical stakeholders.


Students will primarily focus on building end-to-end AI solutions and capabilities and proof of concepts.

Students may have limited UX/UI, front-end/back-end development, cloud deployment, etc. capabilities.


Employers engaging in this collaboration are expected to provide regular communication and guidance, share relevant project information, attend a virtual final presentation, and offer constructive feedback on the project progress and final demonstration using the Riipen platform.


Employers are expected to provide data with full metadata, and clean data for the projects as much as possible.


Learners
Undergraduate
Beginner, Intermediate levels
20 learners
Project
50 hours per learner
Educators assign learners to projects
Teams of 4
Expected outcomes and deliverables

Employers will receive the following deliverables at the end of this collaboration:

  • A final technical report detailing the AI application, including data analysis, model selection, and recommendations for practical implementation.
  • A final demonstration of the AI application, featuring a code walk-through and insights on the AI capability’s performance and scalability.


Project timeline
  • January 21, 2025
    Experience start
  • January 21, 2025
    Project Proposal and scope
  • February 15, 2025
    Progress report #1
  • February 22, 2025
    Prototype demonstration #1
  • March 15, 2025
    Progress report #2 & Prototype demonstration
  • March 29, 2025
    Final report & Final demo
  • March 29, 2025
    Experience end
Project Examples

Ideal projects for this experience require integrating AI capabilities within applications to solve complex, data-driven problems. There is also a special interest in projects that focus on Generative AI. These projects offer learners the chance to explore AI models, conduct data analysis, and develop impactful and industry-relevant solutions.

  • Predictive Maintenance System: Develop an AI capability that analyzes historical data to predict machinery breakdowns and optimize maintenance schedules.
  • Customer Sentiment Analysis Tool: Build an AI tool to analyze customer feedback and online reviews, providing insights into customer sentiment for business improvement.
  • Automated Inventory Management: Create an AI-driven inventory system that predicts demand, tracks stock levels, and suggests optimal restocking strategies.
  • Healthcare Diagnostic Assistance: Design an AI application that supports diagnostic processes by analyzing patient data and providing predictive health insights.
  • Smart Recommendation Engine: Build a recommendation system that uses AI to analyze user preferences and behavior, delivering personalized product or content suggestions.



Companies must answer the following questions to submit a match request to this experience:

If matched, will this project be reserved solely to the Centennial College student team?

How many team members are committed to providing supervision/mentorship to students for the duration of the project?

Will you be using Riipen or another platform to directly communicate with the student team?

Please list any tools, programs or languages your project requires?

Do you or your team members have flexibility to schedule touch point meetings during student class times?