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Hi I'm Shivashish @IResearchAI hi

I'm Shivashish Borah. AI Researcher | Mechanical Engineer | Python Developer | Penetration Tester | National TT Player | Full Stack Web Developer and Content Creator on Youtube. I Spend most of time coding outstanding projects .

šŸ“« Reach me out!

  • šŸ”­ Iā€™m currently working at @Evbotic Tech
  • šŸ’» Most used line of code git commit -m "Initial Commit"
  • šŸ¤” Iā€™m looking for enthusiatic Developers to colab.
  • šŸ“« How to reach me: [email protected].
  • šŸ˜„ Pronouns: IResearchAI, iShivashish_Borah
  • āš” Fun fact: I play games and go to the GYM very often.

Top Technologies

React Badge Javascript Badge Typescript Badge Nodejs Badge GraphQL Badge

React

HTML5

JavaScript

Visual Studio Code

Sass

Node.js

GraphQL

Deno

SQL

MySQL

Git

MongoDB



Contact :

More stuff about me

I love sharing knowledge and putting courses/codes and posts together for helping other developers, and that's why IResearchAI exists!

What is IResearchAI?

IResearchAI is a youtube channel for developing Web/Mobile technologies both coding and design. Including new frameworks and anything really related to development world.

Coding Stats

TypeScript   15 hrs 41 mins  ā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–“ā–‘ā–‘ā–‘ā–‘   82.29 % 
HTML         1 hr 50 mins    ā–ˆā–ˆā–’ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘   09.61 % 
Markdown     1 hr 27 mins    ā–ˆā–ˆā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘   07.63 % 
Other        2 mins          ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘   00.25 % 
YAML         2 mins          ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘   00.19 % 

Shivashish Borah's Projects

snapper icon snapper

Manage filesystem snapshots and allow undo of system modifications

tobacco_leaves_classification_cnn icon tobacco_leaves_classification_cnn

Jupyter Notebooks of various CNN Architectures (1) VGG16( pretrained ) 2) VGG16( Fully trained ) 3) Alexnet 4) Mobilenet 5) Googlenet 6) Shufflenet 7) Resnet 8) Densenet ) Tobacco Leaves Classification System

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