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PROJECTS

<A SHOWCASE OF MY RECENT WORKS>

Below is a brief overview of all recently completed projects in the focus machine learning and AI

BNA Traffic Tracker

  • Produced a real-time traffic monitoring and analytic dashboard for tracking the usage of streets in Hamilton using IoT devices

  • Developed a working Docker container for the uses of encapsulating machine learning training code on real-time video data streamed by a nVidia Jetson Nano

  • Created a SQL Database instances and stored procedures for the purposes of storing and parsing real-time video data for use on the web interface layer

  • Utilized YOLOv5 and Deepsort for detection and tracking of entities over frames of video data streamed over a distributed Kafka service

  • Generated data from detection & tracking used for creating a visual heatmap of the frequency of objects detected for all video frames

CoviDash

  • Designed a COVID data-visulation tracker providing a heatmap of cases on various across various regions and cities in Ontario

  • Utilized a trained LSTM model in PyTorch to forecast 7 days of COVID-19 cases in Ontario using publicly available datasets

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Deep NES

  • Designed a COVID data-visulation tracker providing a heatmap of cases on various across various regions and cities in Ontario

  • Utilized a trained LSTM model in PyTorch to forecast 7 days of COVID-19 cases in Ontario using publicly available datasets

  • LinkedIn
  • 25231

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