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conjeevaram/README.md

Hi, I'm Paras 👋

I'm a mechatronics engineering student at the University of Waterloo focussed on challenging problems in autonomous robotics, machine learning, and intelligent vision systems.

  • 🚙 I'm a core member of the perception team in my school's self-driving car team, working on implementing and optimizing monocular depth estimation features, 3D object tracking, and anomaly detection for autonomous driving
  • 🔧 I'm currently an undergraduate research assistant developing machine learning algorithms to predict short and long term motor health under Professors Sanjeev Bedi and Mahesh Pandey
  • 🤖 I implemented my own UNET depth estimation model from scratch, and trained it on the NYUV2 dataset. You can find more cool projects in my repos!

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  1. Anomaly-Detection-Auto-Encoder Anomaly-Detection-Auto-Encoder Public

    A regularized auto encoder to help detect stalls and other anomalies in high power motor operation.

    Jupyter Notebook

  2. Monocular-Depth-Estimation Monocular-Depth-Estimation Public

    Estimating depth maps from monocular RGB images using a UNET based neural network. (Work in Progress)

    Python

  3. MNIST-Auto-Encoder MNIST-Auto-Encoder Public

    A jupyter notebook experimenting with basic auto-encoder networks for reconstructing and denoising MNIST images.

    Jupyter Notebook

  4. Torus-Object-Detection Torus-Object-Detection Public

    Detecting orange toruses using a combination of Open CV colour masking and YOLO object detection.

    Python

  5. Gesture-Controlled-Motor Gesture-Controlled-Motor Public

    An Arduino based Gesture control system for a DC motor and servo using Google's mediapipe digit detection.

    Python