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Working from home
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Working from home
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afaq-ahmad/README.md

afaq-ahmad/

Hi there 🌏

I’m a highly motivated Data Scientist/computer vision Engineer with over two years of research and development experience and currently working on building AI and computer vision technologies that have impact on the "real world". I have worked on Multiple Projects like Document Digitalization, Surveillance System and text analytics. Moreover I have also experience with edge computing and solution deployment on hardware accelerators like Jetson and Corel boards. I have done my Master in Robotics and Intelligent machines and bachelor in Electrical Engineering. Other than my professional time spending, I like Travelling, Gardening and Gaming.

  • 💬 Feel free to ask me about Deep Learning, Python, Tensorflow / Keras, Linux, Machine Learning, Php, NLP (Bert, Albert and feedback based learning mechanisms).
  • 📖 Learning about Machine Learning, Computer Vision and Psychology

🔭 I have Experience in:

python tensorflow keras scikit-learn opencv jupyter-notebook aws azure matlab qt raspberry-pi atom ubuntu linux

🌱 I’m currently learning:

django r sql react kubernetes docker electron

Afaq's github stats -->

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📫 How to reach me:

gmail linkedin

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  1. Python-Application-for-Camera-OCR-then-text-to-speech Python-Application-for-Camera-OCR-then-text-to-speech Public

    Python Application for to capture image using Camera then apply OCR to recognize the text,then text to speech audio

    Python 12 1

  2. Table-Detection-using-Deep-Learning-FasterRCNN Table-Detection-using-Deep-Learning-FasterRCNN Public

    Table Detection using Deep Learning FasterRCNN

    Jupyter Notebook 9 5

  3. Gender-and-Age-Detection-based-Customer-Tracking-Classification-on-Raspberry-pi Gender-and-Age-Detection-based-Customer-Tracking-Classification-on-Raspberry-pi Public

    This algorithm tracks a person entering from a particular direction while his/her gender & age group are predicted & stored with the respective time of detection.

    Python 9 4

  4. Car-Models-and-Make-Classification-Standford_Car_dataset-mobilenetv2-imagenet-93-percent-accuracy Car-Models-and-Make-Classification-Standford_Car_dataset-mobilenetv2-imagenet-93-percent-accuracy Public

    Car Models and Make Classification Standford_Car_dataset mobilenetv2 imagenet 93 percent accuracy

    Jupyter Notebook 7 2

  5. Convolutional-Neural-Network-CNN-for-Text-Classification Convolutional-Neural-Network-CNN-for-Text-Classification Public

    Convolutional Neural Network (CNN) for Text Classification in different categories

    Jupyter Notebook 6

  6. PCA-SVM-Features-based-Face-Images-Classification PCA-SVM-Features-based-Face-Images-Classification Public

    Face recognition on The Database of Faces at a glance. Data pre-processing. Dimension reduction using PCA. Support Vector Machines (For classification)

    Jupyter Notebook 7 1