Vibe Match
Project Showcase

Vibe Match

AI-Powered Emotional Alignment for Brand-Creator Partnerships

By: Kendall Sables , Karabo Motsileng , Skye Nagel , Gabriel Chetty

Supervised by: Elsje Scott , Maureen Tanner , Ridewaan Hanslo

In partnership with: impact.com

Categories: IS Hons Systems Development Project


About

Abstract

Brands pay content creators to promote their products, but choosing the right creator is still done by hand. A brand manager watches a few videos and goes with their gut. This is slow, subjective and can’t scale. Follower counts and engagement rates also say nothing about whether a creator’s content actually feels like the brand, and audiences notice when it doesn’t.

VibeMatch, built with our sponsor impact.com, turns that gut-feel “vibe check” into a repeatable, data-driven score. A brand manager sets up a campaign and dials in the emotions it should spark. The system then finds creators’ content and uses AI to analyse the video, audio and text. It builds an emotional profile for each creator across core emotions, giving more weight to their recent content. Creators are filtered by platform, category and follower range, then scored against the campaign’s target using the same rule every time. Brand managers can compare creators side by side, see where their content lines up with the campaign and export a shortlist!

Documents 1

Downloadable resources and documentation

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Gallery 2

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