Skip to content
View gauravsangwan's full-sized avatar

Highlights

  • Pro
Block or Report

Block or report gauravsangwan

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this userโ€™s behavior. Learn more about reporting abuse.

Report abuse
gauravsangwan/ReadMe.md

Hi there, I'm Gaurav Sangwan! ๐Ÿ‘‹

About Me

I am an AI&DS undergraduate student at IIT Jodhpur with a passion for Artificial Intelligence, Data Science, and Deep Learning. I enjoy working on projects that involve implementation and learning through hands-on experience. I have been actively contributing to the GitHub community since April 2021 and have created 16 public repositories. My GitHub portfolio showcases my skills in various programming languages, including React, Node, Python, C++, MATLAB, and more.

Skills

Here's an overview of my skill set:

  • Programming Languages: Python, JavaScript, C++, R
  • Web Development: React, Node, HTML, CSS, Vue
  • Machine Learning and Deep Learning frameworks: Pytorch, TensorFlow
  • Data Visualization: Matplotlib, Seaborn, Plotly
  • Natural Language Processing (NLP)
  • Image Processing and Computer Vision

Project Highlights

Here are some of my notable projects:

  1. Plant-Disease-identification: This project aims to deploy a dash application for plant disease identification using machine learning techniques. It involves training models on a large dataset of plant images and provides accurate disease classification and diagnosis.

  2. Data-Visualization: This repository contains various data visualization projects implemented using Python libraries such as Matplotlib, Seaborn, and Plotly. These projects demonstrate my proficiency in creating visually appealing and informative data visualizations.

  3. ViT-pytorch: ViT-pytorch is a Pytorch reimplementation of the Vision Transformer (ViT) model introduced in the "An Image is Worth 16x16 Words" paper. This project showcases my understanding of transformer models and their applications in computer vision tasks.

These are just a few examples of my work. You can explore my GitHub profile to see more of my projects and contributions.

GitHub Presence

I have a moderate presence on GitHub with 6 followers and following 3 GitHub users. Among my repositories, "LowResFormer-ViT" and "Plant-Disease-identification" have received stars and contributions from other developers. I am actively involved in open-source projects related to Artificial Intelligence, Data Science, and Deep Learning. I constantly explore emerging technologies and strive to enhance my skills by learning new tools and frameworks.

Get in touch

If you have any questions, collaboration opportunities, or simply want to reach out, feel free to connect with me:

Thank you for taking the time to visit my GitHub profile and reading this README! I am excited to continue learning, exploring, and contributing to the world of AI, Data Science, and Deep Learning. Let's connect and collaborate!

Top Langs

AI Data Science Deep Learning Open Source

Popular repositories

  1. Signals-and-systems-PA Signals-and-systems-PA Public

    Programming Assignment comprising of deblurring and denoising a signal using MATLAB.

    MATLAB

  2. gymkhana-sac gymkhana-sac Public

    Forked from devlup-labs/gymkhana-sac

    JavaScript

  3. Decentralized-application-Todo-List Decentralized-application-Todo-List Public

    This Decentralized Todo List was created using ReactJS and Solidity(for smart contracts) which were interconnected using Web3Js

  4. Real-Time-Object-Detection Real-Time-Object-Detection Public

    JavaScript 1

  5. Speech-Recognition-ReactJS Speech-Recognition-ReactJS Public

    JavaScript

  6. Tensorflow-Voice-Controll-Ball Tensorflow-Voice-Controll-Ball Public

    JavaScript