NeuroAd is a project that utilizes EEG (Electroencephalography) data to predict audience engagement with advertisements. By analyzing brainwave patterns, NeuroAd aims to provide insights into how different ads are likely to perform, enabling more effective ad optimization. This project integrates neuroscience with machine learning to offer a data-driven approach to improving ad engagement.
-
Notifications
You must be signed in to change notification settings - Fork 0
NeuroAd uses EEG data to predict how audiences will engage with advertisements. By analyzing brainwave patterns, it provides insights into ad performance, helping optimize content before launch. This project combines neuroscience with machine learning for a data-driven approach to enhancing ad effectiveness.
Tech-sculpt/NeuroAd
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
NeuroAd uses EEG data to predict how audiences will engage with advertisements. By analyzing brainwave patterns, it provides insights into ad performance, helping optimize content before launch. This project combines neuroscience with machine learning for a data-driven approach to enhancing ad effectiveness.
Topics
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published