Advance Anime Recommendation System #981

[Niraj1608]

Pull Request for DL-Simplified 💡

fix #981

Issue Title : Advance Anime Recommendation System #981

• Info about the related issue (Aim of the project) :
• This project implements an Anime Recommendation System using both content-based and collaborative filtering techniques. It provides recommendations based on user preferences and anime content, leveraging deep learning for enhanced collaborative filtering.
• Name: Parmar Niraj
• GitHub ID: @Niraj1608
• Email ID: nirajprmr1608@gmail,com
• Idenitfy yourself: (Mention in which program you are contributing in. Eg. For a JWOC 2022 participant it's, JWOC Participant) GSSOC

Closes: #issue number that will be closed through this PR #981

Describe the add-ons or changes you've made 📃

Features

• Data Preprocessing: Cleans and preprocesses anime.csv and rating.csv datasets.
• Exploratory Data Analysis (EDA): Provides an overview of anime types, genres, ratings, and other insights.
• Content-Based Filtering: Generates recommendations based on anime genres, type, and average ratings.
• Collaborative Filtering: A deep learning-based recommendation model that learns user preferences.
• Genre-Based Recommendations: Ensures diverse recommendations by including various genres in top recommendations.
• New User and New Anime Recommendations: Customized recommendations for new users and newly added anime.

Give a clear description of what have you added or modifications made

Type of change ☑️

What sort of change have you made:

• Bug fix (non-breaking change which fixes an issue)
• New feature (non-breaking change which adds functionality)
• Code style update (formatting, local variables)
• Breaking change (fix or feature that would cause existing functionality to not work as expected)
• This change requires a documentation update

How Has This Been Tested? ⚙️

Describe how it has been tested
Describe how have you verified the changes made

Checklist: ☑️

• My code follows the guidelines of this project.
• I have performed a self-review of my own code.
• I have commented my code, particularly wherever it was hard to understand.
• I have made corresponding changes to the documentation.
• My changes generate no new warnings.
• I have added things that prove my fix is effective or that my feature works.
• Any dependent changes have been merged and published in downstream modules.

[github-actions]

Our team will soon review your PR. Thanks @Niraj1608 :)

[Niraj1608]

@abhisheks008 can you review my pr
and i added output in resource directory in a video

[abhisheks008]

1. Inside the Model folder put all the notebooks along with the models implemented.
2. Follow the project structure and put your files. For your reference sharing a project folder, https://github.com/abhisheks008/DL-Simplified/tree/main/Brain%20Tumor%20Detection

@Niraj1608

[Niraj1608]

@abhisheks008 i created a specific directory for a notebooks

[abhisheks008]

Please follow the project folder and update your file arrangements, https://github.com/abhisheks008/DL-Simplified/tree/main/Brain%20Tumor%20Detection

[Niraj1608]

@abhisheks008 done

[abhisheks008]

Approved!!
@Niraj1608