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aviralchharia/README.md

Hi, I'm Aviral Chharia

Artificial Intelligence | Continual Learning | Cognitively-Inspired Computation | Deep Learning | Computational Biology

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  An undergraduate student in the Mechanical and Computer Science Department at Thapar. Interested broadly in the fields of Artificial Intelligence, Continual/ Life-long Learning, Cognitively-Inspired Computation, Deep Learning and Computational Biology.

  • Find more about me at my website.
  • 👯 Currently open to Research opportunities and collaborations.

Aviral's github stats

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  1. This project aims to automatically detect surface defects in Hot-Rolled Steel Strips such as rolled-in scale, patches, crazing, pitted surface, inclusion and scratches. A CNN is trained on the NEU …

    Jupyter Notebook 17 8

  2. In this project, we use a Deep Recurrent Architecture, which uses CNN (VGG-16 Net) pretrained on ImageNet to extract 4096-Dimensional image feature Vector and an LSTM which generates a caption from…

    Jupyter Notebook 1

  3. COVID-19 Public

    Research Project for Detection of COVID-19 from X-Ray using Deep Learning methods. Implemented convolutional neural network for classification of X-Ray Images into COVID & non-COVID cases.

    Jupyter Notebook 10 2

  4. To develop an autonomous vehicle using Arduino (Atmega-328p) & remote wireless supervisory control (using, XCTU & XBee or C#) with capability of ultrasonic obstacle detection & avoidance, self-park…

    C++ 2

  5. Aim of this project is to use Computer Vision techniques of Deep Learning to correctly identify & map Brain Tumor for assistance in Robotic Surgery.

    Jupyter Notebook 6 3

  6. An end-to-end Self-driving car using CNN to map pixels from front-camera to steering angles on a simulator. This deep learning approach required minimum training data & the system learned to steer,…

    Jupyter Notebook 1 1

489 contributions in the last year

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Activity overview

Contribution activity

July 2022

aviralchharia has no activity yet for this period.

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