Inspiration
- Digital marketing
- LED billboards
- Facebook Ads Platform
What it does
- Obtains user attributes via web cam and tailors ads to identified demographic
How we built it
- The OpenCV python library was used for facial detection
- Neural net models detect user attributes set by developer
- Advertisements were then shown based off of the user attributes detected
Challenges we ran into
- Integrating the facebook graph API
- Interfacing python with Node.js
- Parsing JSON data from python requests module
Accomplishments that we're proud of
- Displaying ads based on user profile/attributes
What we learned
- HTTP requests
- Complex API integrations
- Deploying a neural network
What's next for FacialRecognitionAdvertising
- Detecting more user attributes
- Increasing accuracy of attribute classification
- Integrating data with advertising API
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