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Hi there this is Yasar Arafat! 👋


GIF

  • 💙 I love developing
  • 🧑‍🤝‍🧑 Looking for a team or an organization where I can learn and develop my skills
  • 🍀 Curretly doing a course on neural networks and deep learning
  • ⛑️ Looking for help in object detection module using tensorflow and COMPETITIVE CODING🥺
  • ✨ My dream is to put my skills and knowledge gained into use and make something productive that can solve problems our world is dealing with
  • 📬 Reach me out on Linkedin
  • Resume: Download File
  • 🐤 Fun Fact: Engineering student but happy (Trying to be funny)

Yasar arafat's Projects

anime-downloader icon anime-downloader

A Python script run in a docker container that uses Selenium and Headless Chrome to allow you to download Anime

app icon app

A Google.com Clone built using ReactJS, Redux, Material UI, Google Custom Search APIs, and Firebase Hosting.

astro-player icon astro-player

A responsive web-based music streaming app built with React, Redux and Deezer API

baksa_iitk icon baksa_iitk

Official implementation of paper - "BAKSA at SemEval-2020 Task 9: Bolstering CNN with Self-Attention for Sentiment Analysis of Code Mixed Text" accepted at Proceeding of the 14th International Workshop on Semantic Evaluation.

basic-banking-app icon basic-banking-app

Banking System Application with features like basic transaction with users.

cryptography icon cryptography

Implementation of basic public key cryptography algorithms

datingapp icon datingapp

Dating UI kit is used for online meet up with girls and boys . The screen contains more than 30 icons and most of all required elements required to design an application like this. The XML and JAVA files contains comments at each and every point for easy understanding. Everything was made with a detail oriented style and followed by today's web tre

dsa-bootcamp-java icon dsa-bootcamp-java

This repository consists of the code samples, assignments, and notes for the Java Data Structures & Algorithms bootcamp of Community Classroom.

fake_news_detection icon fake_news_detection

Fake news do not require any introduction. It is very much easy to spread all the fake information in today’s all-connected world across the internet. Fake news is sometimes transmitted through the internet by some unauthorised sources, which creates issues for the targeted person and it makes them panic and leads to even violence. To combat the spread of fake news, it’s critical to determine the information’s legitimacy, which this Data Science project can help with. To do so, Python can be used, and a model is created using TfidfVectorizer. PassiveAggressiveClassifier can be implemented to distinguish between true and fake news. Pandas, NumPy, and sci-kit-learn are some Python packages suitable for this project, and we can utilize News.csv for the dataset.

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