Intro

Hi, due to Corona virus, I like many other people had too much free time. I spent my time catching up on anime. After taking a class on Machine Learning I thought I would combine my two passions together, anime and computer science.

About

This app is meant to give other anime lovers recommendations on what to watch based on their favorite anime. So a user would input an anime title that they liked in a search bar and press enter. Afterwards the application would display a gallery of other anime titles that the user might like. This applications uses a React/Flask stack. Im using React to make a stylish frontend while I am using Flask to handle the data science part of the application.

🏃🏻 Running the Application

⚛️ Frontend

cd into the frontend directory and run the following to install all the packages needed for the project:

npm i

Afterwards all you have to do is run:

npm start

You can now view the app on http://localhost:3000

🧪 Backend

cd into the backend directory and run the following:

pipenv shell

Afterwards run the following command to install the dependacies:

pipenv install --dev

Finally you can run the following to start up the Flask server:

export FLASK_APP=autoapp.py
flask run

Sources

Before coding out the recommendation part for Flask, I decided to test out some code in simple.ipynb with this tutorial, https://www.kaggle.com/astandrik/simple-anime-recommendation-system-content-based/notebook?select=anime.csv.

I used that tutorial to write the recommendation feature of the app.