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israr96418/README.md

Hi 👋, I'm Israr Dawar

A passionate Software Engineer from Pakistan

israr96418

israr96418

  • 🔭 I’m currently working on Human Fall Detection with computer vision

  • 🌱 Working in the field Machine learning / Deep learning / Computer Vision

  • 👯 I’m looking to collaborate on Open-Source Project

  • 💬 Ask me about Python , Fastapi, Flask, ML / DL /Computer vision

  • 📫 How to reach me [email protected]

  • 📄 Know about my experiences https://www.linkedin.com/in/israr-dawar/

  • ⚡ Fun fact I am a noob who love to code for hours.

Connect with me:

isrardawar11 israr dawar https://stackoverflow.com/users/15412824/israr-dawar israr dawar israr dawar isrardawar485 @isrardawar485

Languages and Tools:

bash c canvasjs chartjs cplusplus django docker express figma firebase flask git go heroku illustrator javascript linux mariadb mongodb mssql mysql nodejs opencv oracle pandas postgresql postman python react redis scikit_learn seaborn sqlite tensorflow

israr96418

 israr96418

israr96418

Pinned

  1. Microservices_with_fastapi Microservices_with_fastapi Public

    Python 2

  2. Socialapp Socialapp Public

    Python 2 1

  3. GymCounting_with_mediapipe GymCounting_with_mediapipe Public

    Jupyter Notebook 1 1

  4. LSTM_IBDB LSTM_IBDB Public

    Apply LSTM(Type of Rnn) on imdb dataset(which contain information about movie)-->we take only review(sequence of word

    Jupyter Notebook

  5. Self_driving_car Self_driving_car Public

    Train CNN model on 25mint video(20 mint ---> extract frames/images from video) and test it on 5mint video which give me 98% right steering wheel angle

    Jupyter Notebook 1

  6. video_based_classification_CNN_RNN video_based_classification_CNN_RNN Public

    1: extract frame from video 2: pass those frames to CNN model(Inception) to extract feature 3: pass to rnn(GRU)