Machine Learning | Medical Imaging | Software Engineering

Please select a project to visit github page or view the live demo.

Facial Point detection using Machine Learning

Convolutional Neural Network model is trained using Kaggle facial point competition dataset using transfer learning and data augmentation. Model is then used for implementing facial point tracking desktop app and webapp.
#Python, #Tensorflow, #QT, #Tensorflow.js, #OpenCV, #Kaggle

Computed Tomography(CT) Simulation

Parallel beam CT simulation program written in C++ and QT. Siddon's algorithm is used for system matrix generation. SIRT, SART, and MLE are supported.
#C++, #QT, #Simulation

Parallel GATE simulation toolkit

Graphical User Interface program for parallelizing and monitoring a GATE simulation. This program is written in C/C++ with QT GUI library package.#C++, #QT, #Simulation

Mask detector

Mask classification neural network is implemented using the convolutional layers from MobileNetV2 as a feature extractor. Feedfoward layers are attached to perform classification. #Python, #Tensorflow

Data Pipeline with Kafka and Spark

Data pipeline implemented using Kafka, Spark Streaming engine, Cloudera, and Presto#Kafka, #Spark, #Cloudera, #HDFS, #Presto, #Redis