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Imdadul Haque photo

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followers: 13.0 following: 28.0 repos: 192.0 gists: 0.0

Name: Imdadul Haque

Type: User

Company: Mobile Application Developer(React Native) at SNOWTEX GROUP

Bio: WORKING WITH: JaavaScript | ReactJS | React Native | NodeJS | ExpressJS | MongoDB | Socket.io | WebRTC | Python | ML | DL | CV

Twitter: imdad_haque

Location: Dhaka, Bangladesh

welcome

Hi šŸ‘‹ Myself Imdadul Haque.

Here are some ideas to get you started:

  • šŸ”­ Iā€™m currently working on ... Full Stack Web Developing
  • šŸŒ± Iā€™m currently learning ...NodeJS
  • šŸ‘Æ Iā€™m looking to collaborate on ... NodeJS
  • šŸ¤” Iā€™m looking for help with ... Web developing
  • šŸ’¬ Ask me about ... Anything
  • šŸ“« How to reach me: ...linkedin twitter stack-overflow researchgate-logo publication icons8-hackerrank-32 coursera_32_black
  • šŸ˜„ Pronouns: ... He/Him
  • āš” Motivate Myself: ...Teaching is the best way to learn !

Using ReactJS Projets are given below:

  1. Animated Prortfolio Using ReactJS, JavaScript, Bootstrap-5, CSS, HTML
  2. Restaurant App Using ReactJS, JavaScript, bootstrap-4.5.1, CSS, HTML (Updating.....)
  3. I.H.-Photo Gallery Using Firebase(to store feedback), ReactJS, JavaScript, bootstrap-5, CSS, HTML
  4. Burger builder Using ReactJS, JavaScript, bootstrap-5, CSS, HTML (AUTHENTICATION with Firebase)
  5. I.H.-HotelBooking Using Firebase(Store Room Booking Info), ReactJS, JavaScript, bootstrap-5, CSS, HTML (AUTHENTICATION with Firebase)

publi

  1. Tittle: Papaya Disease Recognition Using Deep Learning
  2. Tittle: Malabar Nightshade Disease Detection Using Deep Learning Techniques
  3. Tittle: Classifying Pepper Disease Based on Transfer Learning: A Deep Learning Approach
  4. Tittle: Examining The Risk Factors of Liver Disease: A Machine Learning Approach

Imdadul Haque's Projects

django-learning icon django-learning

I will share basic knowledge, logical knowledge and coding in this section.

face-api.js icon face-api.js

JavaScript API for face detection and face recognition in the browser and nodejs with tensorflow.js

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