3DHEALS has hosted more than 50 online events since 2020 focusing on the niche market in health care 3D printing. The goal of this project is to help the company with collecting, cleaning, and analyzing audience data to predict future audience makeup and help with the decision-making of future webinar content to optimize adverting outcomes and user satisfaction. Students will have the opportunity to complete a substantial project surrounding social media channels, analytics tools, and building AI/ML-based algorithms to predict and influence future audience responses. 3DHEALS currently use Zoom for virtual event data acquisition and six channels to promote events, including Mailchimp, Instagram, Twitter, Facebook, Linkedin, and Youtube. Occasionally, we also use Google. We have a specific set of metrics that we are aiming for quarterly, paced by our online events.

Students will need to create a Python-based program with the following functionalities:

• API integration with social media channels to acquire data from our social medial event promotion campaign to be used in AI/ML algorithm
• Analyze each virtual event audience behavior to create user profiles. This result will allow us to predict future audience behavior and figure out what works and what bores the audience.
• Using collected data to create an ML/AI algorithm to predict future event audience make-up and behavior

In the past, I typically host weekly meetings with the students. They can email me anytime, and I respond typically within 24 hours.