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Github and chill
:octocat:
Github and chill
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aftabkhan07/README.md

Hey there, I'm Aftab! 👋

Hi, I'm Aftab Khan, currently persuing postgraduation in Cloud Architecture from Seneca College, Toronto, Ontario.

Beside's developing stuff, I enjoy listening music🎧, learning about AI📚, and traveling🏝️🗻.

🌱 I’m currently studying for my Solution Architect Exam for AWS

🤔 I’m looking for people to collaborate on projects

💬 Ask me about anything, I am happy to help

📫 How to reach me: khanaftaba1@gmail.com

⚡ Fun fact: Text data comprise 91 percent of the data used in data science

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  1. Netflix-clone Netflix-clone Public

    Netflixclone as the name suggests is a look a like clone which is build on Nextjs with Tailwind css where we used api calls to get data like images, names etc

    TypeScript

  2. Chatroom Chatroom Public

    Chatroom is a messaging app which is build on Django framework, here we have tried making an app which has rooms where people can come and chat with each person with there customised profile and ro…

    HTML

  3. Insta_Book Insta_Book Public

    Insta Book is a social media app where you can create and authenticate your account, follow / unfollow users who are on Insta Book post images like other people’s posts and it also creates random u…

    JavaScript

  4. Attendance-Using-Face-Recognition Attendance-Using-Face-Recognition Public

    Attendance project that uses webcam to detect faces and records attendance live in an excel sheet here we did facial recognition with high accuracy by using (Libraries : Opencv, Numpy, Face recogni…

    Python

  5. AI-Desktop-Voice-Assistant AI-Desktop-Voice-Assistant Public

    A.I Desktop Voice assistant using Python which sends email open software searches from wikipedia and is also capable of playing music, Flips coin, plays rock paper scissor and more using (Libraries…

    Python 1

  6. Car_prediction_deployment Car_prediction_deployment Public

    In this project we tried building a car prediction model where we manupulated visulised data and tried predicting the onroad price of the car using Random forest and we deployed the project

    Jupyter Notebook 2