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Practice like you've never won 💪🏻 Perform like you've never lost 👊🏻
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Practice like you've never won 💪🏻 Perform like you've never lost 👊🏻

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@The-Mahaguru @astrosonic

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VaibhavSaini19/README.md

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A highly motivated, enthusiastic and passionate programmer with excellent academic records. Experienced in Full stack Web development and Machine Learning with a strong hand in competitive programming. Skilled in Python, JavaScript, MySQL, MongoDB, Java and UI/UX. IT undergraduate (2017-2021), MIT AOE from Pune, India.

Linkedin image    Portfolio image    Codechef image    Hackerrank image   


  • 🔭 I’m currently working on BootBlox
  • 🌱 I’m currently learning React Native 👨🏻‍💻
  • 👯 I’m looking to collaborate on open source projects 🚀
  • 📫 How to reach me: [email protected]
  • ⚡ Fun fact: I'm a speedcuber 😎

Languages and Tools I use:

For I Use
Programming Language Python JavaScript Java HTML5 CSS3 Sass Android
Databases MySQL MongoDB Firebase
Frameworks & Libraries React Node.js Jquery Bootstrap Keras OpenCV
Toolkits & Platforms Git GitHub Visual Studio Code Jupyter Windows
Cloud Services AWS
Design & Prototype Figma


Vaibhav's Github Stats


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  1. BootBlox BootBlox Public

    Ready-to-use Bootstrap CSS blocks

    HTML 27 15

  2. MusicBolt MusicBolt Public

    A simple Music Recommender system built using Collaborative filtering and Spotify API. Built on top of MERN stack

    JavaScript 27 5

  3. DL-Image-Caption-Generator DL-Image-Caption-Generator Public

    A React based Web app to generate Image captions through CNN+LSTM

    Jupyter Notebook 1

  4. Restaurant-Analysis-using-ML Restaurant-Analysis-using-ML Public

    A Web application developed using Django for helping people who wish to open new food outlets, decide cruicial factors like price and rating of the outlet.

    Jupyter Notebook 2

  5. ResumeBuilder-App ResumeBuilder-App Public

    An android application developed to seamlessly create and download resumes through modern templates.

    Java 36 10

  6. ML-K-Means-Clustering-Interactive ML-K-Means-Clustering-Interactive Public

    Implementation of K-Means Clustering Machine Learning algorithm

    JavaScript