CrowdLytics is a user experience analytics reporting tool that works on top of already existing security cameras. It uses a custom trained neural network to recognize faces and processes them using Google Vision API, getting store time, basic demographics, mood and other useful information to decision makers, marketing teams and managers. The information that’s gathered is completely anonymous, and cannot be linked to a specific person in any way once processed.

• Developed and trained a custom TensorFlow neural network to capture and recognize human faces from a live video with an accuracy rate of 53%.

• Utilized the Google Cloud Platform Vision API to analyze human faces in search of meaningful demographics. Unfortunately, due to hardware limitations at the hackathon, no reliable results could be gathered.

• Employed Firebase and Firestore to store the program’s data, enabling Real Time Analytics to be accesed from anywhere.

• Python

• Flask

• TensorFlow

• Google Cloud’s Platform Vision API

• Google Cloud’s Platform Firebase

• Google Cloud’s Platform Firestore

• Daniel Zubieta Ambriz

• Fernando Cossio Ramirez

• Kevin Ruvalcaba Perez

• Repository Owner