Hi, My Name is

Mrityunjay Shukla

I am a Programmer

I like to learn new technologies in different domains

and use my knowledge to integrate different domains in order to create something new and exciting

A little about me...

I started my coding journey during the first COVID lockdown and ever since that I haven't been able to stop my proficiency lies in full stack web development but I plan on exploring the data science domain more

Fun Fact About Me :- I don't need glasses I just wear them to confuse people

My companions in my programming journey have been 👇

Python

JavaScript

C++

My GitHub

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My Projects 💡

View All My Projects

Car Price Predictor

This is a project I built while learning Machine Learning

and basics of Scikit-learn. This model predicts the price of your car based on parameters like Kilometers driven, year of purchase, compandy etc.

Libraries and TechStack Used 👇

🔗 GitHub Repo

Scikit-Learn

Streamlit

Numps,Pandas

Seaborn

View Demo

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Special

DSA Practice Questions Scrapper

A webscrapper that web scrapes data structures and algorithm questions from Codeforces using a python

Libraries and TechStack Used 👇

🔗 GitHub Repo

BeautifulSoup4

Requests

Flask

Heroku

View Demo

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Spotify Review Sentiment Analysis

I built this project while learning Tensorflow2 and Keras

In this project we analyse the review given by the user and predict it's sentiment using a deep learning model.

Libraries and TechStack Used 👇

🔗 GitHub Repo

Tensorflow2

Keras, Sklearn

Streamlit

Numpy,Pandas

View Demo

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Project Rick and Morty

This a fun project I built while learning NextJs ,Graphql and TailwindCSS using the rickandmorty api . In this project the web app fetches different characters and some specific information about the character using Graphql

🔗 GitHub Repo

Libraries and TechStack Used 👇

NextJs

Graphql

TailwindCSS

Vercel (for deployment)

View Demo

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Movie Recommender System

This a movie recommendation model I built while learning basics of machine learning like data cleaning, EDA and data preprocessing. This Web App recommends 5 movies based on the movie you chose

Libraries and TechStack Used 👇

🔗 GitHub Repo

Scikit-Learn

Streamlit

Seaborn

Pandas,Numpy

View Demo