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face_pay

FacePay is a digital payment solution that utilizes facial recognition to authenticate customers. It was a proposal submitted to the "ADB Pay: Digital Payments" challenge of ADB-AIM Hackathon 2019.

facenet

Face recognition using Tensorflow

ft4233

ft900

IoT framework and cloud-connected apps for FTDI/Bridgetek's FT900 MCU, including AWS/GCP/Azure IoT connectivity and Amazon Alexa AVS-SDK integration for PanL Smart Home (smart hub & smart displays).

libalexavirtualization

libalexavirtualization contains the Alexa Virtualization feature enabling multiple connected smart displays with mic and speaker to simultaneously access Alexa as unique Alexa devices and receive audio responses and music/content with complementary visuals.

libfaceid

libfaceid is a research framework for prototyping of face recognition solutions. It seamlessly integrates multiple detection, recognition and liveness models w/ speech synthesis and speech recognition.

libpyawsbarebone

libpyawsbarebone is a bare bone Python implementation of Amazon services connectivity. It uses plain sockets and encryption to send HTTP POST packet signed with SigV4 and sent over secure TLS tunnel.

libpybraintree

libpybraintree demonstrates usage of Braintree's Python SDK for processing online recurring payments including payment using Paypal.

libpycognito

libpycognito demonstrates using Amazon Cognito for secure user signup and login with MFA/2FA/OTP via email or SMS

libpypaypal

libpypaypal demonstrates using Paypal payment processing on backend REST APIs for web and mobile apps.

libpytwitterbarebone

libpytwitterbarebone is a bare bone Python implementation of Twitter connectivity. It uses plain sockets and encryption to send HTTP POST packet signed with OAuth signature and sent over secure TLS tunnel.

machinelearning

shipping_application

This is a programming interview exercise from GCash.

shipping_application_springboot

tacotron

A TensorFlow implementation of Google's Tacotron speech synthesis with pre-trained model (unofficial)

toy_application

This is a simple exercise demonstrating serving RESTful web APIs for a machine learning model - in this case, a simple HaarCascade algorithm for object detection.