GitHub / Tech-sculpt / NeuroAd
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.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Tech-sculpt%2FNeuroAd
PURL: pkg:github/Tech-sculpt/NeuroAd
Stars: 1
Forks: 0
Open issues: 0
License: None
Language: HTML
Size: 13.5 MB
Dependencies parsed at: Pending
Created at: 12 months ago
Updated at: 12 months ago
Pushed at: 12 months ago
Last synced at: 12 months ago
Topics: adversarial-machine-learning, backend-api, eeg, eeg-analysis, eeg-classification, eeg-signals, eeg-signals-processing, flask-application, front-end-development, html-css-javascript, machine-learning, neuroscience