Projects

• Implementation of Adaboost-M1 Classifier Based on Linear Support Vector Machines (SVM)
  

  

• Mobile Robotic Platform Design and Implementation for Simultaneous Localization and Mapping (SLAM)
  

  

• Development of Reynolds Flocking Algorithm in Python
  

  

• Development of Leader Following, Boids Inspired Algorithm Using Robot Operating System (ROS)
  

  

• Human Activity Recognition Using Extreme Gradient Boosting (XGBoost)
  

  

• Gesture Recognition and Teleoperation of PhantomX Robotic Arm
  

  

• Gesture Recognition for Internet of Things (IoT) Application
  

  

• Design and Implementation of Iterative Dichotomiser 3 (ID3) Decision Tree Classifier in Python
  

  

• Implementation of Principal Component Analysis (PCA) with Python and Dimensionality Reduction with MNIST Dataset
  

  

• Closed Loop Pressure Control with PID Controllers (Arduino & MATLAB)
  

  

• Retinal Vessel Segmentation and Diagnosis of Retinopathy of Prematurity (ROP) Disease Using Deep Convolutional Neural Networks
  

  

• ROS2: Open Loop Velocity Control