animania's Introduction

Anime Recommendation System Project

Deployed at https://animania-pwa.herokuapp.com

Resources

Jikan (Unofficial MAL API), documentation can be found here: https://jikan.docs.apiary.io/#
Dataset, which will be used for training the model: https://www.kaggle.com/azathoth42/myanimelist

Algorithm: Matching Users to Recommendations

User-Based Collaborative Filtering for a Personalized Recommendations List

We want to find a set of similar users and based on what similar users have rated highly or favourited, these will be matched to the user. Similarity will be defined based on cosine similarity.

Matching to General Trends

Display a list of anime based on overall ranking or popularity (this can be all fetched through the API)
Additional refinements include filtering genres and type of anime (i.e., TV series or movie)

User Profiles

Email as username
Can sign in using Google or Facebook (using Firebase authentication)
Has a "Completed" List and a "To Watch List"
Completed animes must be rated by a user so that recommendations can be provided
Settings info

Main Features

See the general trends and a personalized recommendation list
Add watched or to watch anime into "completed" and "to watch" list respectively
Completed animes, each having a rating (1-10), will be used to train the dataset and predict similar users
Modify the number of recommendations given in the settings page

Tech Stack

Languages: Python, JavaScript, HTML, CSS
Frameworks: ReactJS (Front-End), Python Flask (Back-End)
Database: MongoDB
APIs/Other: JikanAPI, Google Sheets API, Firebase Authentication, Progressive Web App (PWA)

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