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Rupayan Dutta's Projects

automation-using-python icon automation-using-python

Here we search for something in the search option in Google Chrome and from there a video suggestion is opened and moved to YouTube. After that, we have to set what you want to search automatically in the search option on YouTube. Again it will automatically appear in the search bar and the new video suggestion will appear in the search engine.

basic-web-scraping-using-python icon basic-web-scraping-using-python

Here I collect a raw data from Wikipedia's Academy Award Winning Films, then scrap only film name, year, award and nomination related data from that raw data.

data-structure-and-algorithm icon data-structure-and-algorithm

I followed the C++ Data Structures and Algorithms bootcamp at DevTown in YouTube to get basic idea of data structures and algorithms. Here I get a brief idea of data structures of algorithms in C++. Here is some of my code done in C++.

data-visualisation-using-python icon data-visualisation-using-python

I have used Python and its libraries to make several Barcharts, Pie-chats, Histograms, and many more using Python and Data Visualisation

google-drive-clone-using-html-and-css icon google-drive-clone-using-html-and-css

First is always special! For the first time I made a clone of an application named Google Drive, brushed up my HTML & CSS basics, and learned about Material CSS. This Google Drive clone is made based on Front-End portion (HTML & Material CSS) only; no Back-End is used here.

instagram-clone-using-html-and-css icon instagram-clone-using-html-and-css

Here I made a clone of a social media application named Instagram, brushed up my HTML & CSS basics. This Instagram clone is made based on Front-End portion (HTML & CSS) only; no Back-End is used here.

iris-dataset-analysis-with-machine-learning icon iris-dataset-analysis-with-machine-learning

The Iris Dataset Analysis with Machine Learning repo explores the famous Iris dataset using Python and popular machine learning libraries. It includes analysis, preprocessing, and visualization of the data, as well as the implementation of different machine learning algorithms for species prediction.

project-infocus icon project-infocus

This project is a part of following Hack The Chain Programs. Infocus is a blockchain-based platform for inventors to showcase their ideas, seek feedback and funding, and connect with a community of like-minded individuals.

project-petzee icon project-petzee

Join our community of pet lovers to create the ultimate resource for all things pets! Pet shops, food, hospitals, shelters, news, and more. Let's make pet care easy and enjoyable!

project-vlogbook icon project-vlogbook

We are creating a platform based on an aggregate model on the Tourism Industry where a user can enjoy the best experience through offline and online.

real-life-hogwarts-s-invisibility-cloak icon real-life-hogwarts-s-invisibility-cloak

Real-Life Hogwarts's Invisibility Cloak - using Computer Vision and Python. In just 1 week I got to learn about some awesome Python Libraries such as "opencv-python" and "numpy" from DevTown and created a amazing project which remove the background of green screen from the video and place a background image behind it.

shapeai_python_machine_learning icon shapeai_python_machine_learning

Here is my First Project of Machine Learning regarding the prediction of the house-price in Boston which is part of the 7-day long "Python and Machine Learning" Bootcamp conducted by DevTown

tasky-application icon tasky-application

I have tried to build this application with the help of my mentor at DevTown. This Tasky application includes adding a new task and also has edit and delete function to operate the particular task.

titanic-survival-prediction icon titanic-survival-prediction

A repository containing code and resources for predicting passenger survival on the Titanic using machine learning techniques. The repository includes data cleaning and preprocessing, exploratory data analysis, and the implementation of various machine learning algorithms such as decision trees, random forests, and support vector machines.

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