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HI,

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A passionate BACK_END | WEB Developer from India


Prateek Kumar Singh | Twitter Prateek's LinkedIN Prateek's Insta Prateek's Youtube

prateek271


  • 👨‍💻 All of my projects are available at my Portfolio .

  • 📝 I regularly write articles on my Blog

  • 💬 Ask me about Python , HTML, CSS , SQL, Django , Database Designing , AI model Building

  • 📫 Want to reach me Email Me 👇 .

  class Prateek:
    def __init__(self):
      self.pronunce=He|Him
      self.proffesion=Comder
      self.languages_I_code_on={ 'Python', 'Java' , 'HTML', 'CSS' .'JS', 'SQL' 'MySQL'}
      self.technologies_Worked_on= {'FrontEnd Web Development' , 'BackEnd Developement' , 'Google Cloud Console' ,
                                    'API-Integration in Python' , 'REST API', 'Large data Analytics using Tableau'}
      self.workplace: {
                      college: 'NIET',
                      course: 'B-Tech',
                      specialization : 'AI and machine learning'
                      }
      self.availableForHire: true
                                

Languages and Tools:

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An image of @prateek_271's Holopin badges, which is a link to view their full Holopin profile



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Support Me 👇:

https://www.buymeacoffee.com/lusifer

Prateek Kumar Singh's Projects

audio_classification icon audio_classification

A repository which focuses on increasing the understanding of audio data processing using ML ( tensorflow , matplotlib)

code_buster227.github.io icon code_buster227.github.io

Student helping website , to help them to learn and upskill themselves with the resources URL we have provided.

docs icon docs

Codecademy Docs is a collection of information for all things code. 📕

face-recogniser-using-opencv icon face-recogniser-using-opencv

The 'vedio_mode.py' Python script processes the video captured from the webcam and continuously detects any faces that might be present in it. In case of more than one face, it detects all the faces in the frame. It can also detect faces in any video file that can be read using OpenCV. The detection of faces is done using the Cascade Classifiers (Haar Frontal Face Classifier) and the classifier XML file must be available in the directory for the detection to take place. If you wish to detect faces in images,try using 'photo_mode.py' python script, but the logic remains mostly the same and you do away with the video capture and display portions of the code. The still photo face detection code has also been included.

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