---
title: Movie Recommender System
emoji: 🎥
colorFrom: purple
colorTo: blue
sdk: streamlit
sdk_version: 1.17.0
app_file: app.py
license: apache-2.0
---

## Movie Recommender System
A movie recommendation system, or a movie recommender system, is an ML-based approach to filter or predict the users’ film preferences using techinques like :
- popularity-based
- content-based
- collabrative filtering


In this, project I have used content-based filtering to fiter movies with similar tags (concatenated strings of story, gernre, and title column)

## Links :

- #### Hugging Face Space Link : [Click Me](https://huggingface.co/spaces/akshatsanghvi/movie-recommender-system)
- #### Kaggle Dataset (Bollywood) : [Click Me](https://www.kaggle.com/datasets/pncnmnp/the-indian-movie-database)
- #### Kaggle Dataset (Hollywood) : [Click Me](https://www.kaggle.com/datasets/neha1703/movie-genre-from-its-poster?select=MovieGenre.csv)

## After you click on the HF link you'll see two buttons,
#### "Recommend" Button : Recommends 5 similar movies from the same country as of movie.
#### "🌍" Button : Recommends 10 similar movies from the world.

## Step 1:
![ss1](https://user-images.githubusercontent.com/92530735/220027045-6a009d71-d524-4a20-8a38-6ec7a813fd17.png)

## Step 2:
![ss2](https://user-images.githubusercontent.com/92530735/220027275-d85b1336-2a14-4336-8383-62c0c7e8a6d0.png)

## Step 3:
![ss3](https://user-images.githubusercontent.com/92530735/220027380-b711ece2-eb2e-44d2-8abc-b83cc116ba9a.png)