This project contains examples which demonstrate how to deploy analytic models to mission-critical, scalable production environments leveraging Apache Kafka and its Streams API. Models are built with Python, H2O, TensorFlow, Keras, DeepLearning4 and other technologies.

Algorithmic Financial Trading with Deep Convolutional Neural Networks: Time Series to Image Conversion Approach: A novel algorithmic trading model CNN-TA using a 2-D convolutional neural network based on image processing properties.

An app which uses open CV to monitor if the driver is alert of asleep, and a state farm dataset trained model which scans for 9 different types of distraction.

Java automatic chord recognition with neural network and digital signal processing.

Final Year Project: Eminisce Android Application for Library Management. Topic: Biometric Authentication

Android App that detects human face and recognize his/her expressions in real-time.

An app to help guide blind people in walking.

Detect coronavirus in an automated way in x-ray images using COVID19KIT

IOT Application Development in monitoring and processing the environmental factors with the simple implement of Google Teachable Machine

LEGO Mindstorms EV3 TRACK3R control using the Myo armband and a neural network for gesture recognition.

Hackathon Project - Android - Flask - Keras

Android application that uses a neural network with data obtained from the onboard magnetometer to predict the form of magnetic dipoles.

An attempt to classify digits 0-9 drawn on an Android app by classifying the dataset using the TFLite utility.

Android application that uses a custom convolutional neural network algorithm based on ResNet50 to identify breeds of sheep.