MOVIE RECOMMENDATION SYSTEM - ANALYSIS AND DEPLOYMENT

This application provides all the details of the requested movie such as overview, genre, release date, rating, runtime, top cast, reviews, recommended movies, etc.

The details of the movies(title, genre, runtime, rating, poster, etc) are fetched using an API by TMDB, https://www.themoviedb.org/documentation/api, and using the IMDB id of the movie in the API, I did web scraping to get the reviews given by the user in the IMDB site using beautifulsoup4 and performed sentiment analysis on those reviews.

If you can't find the movie you're searching for through auto-suggestions while typing, there's no need to worry. Simply type the name of the movie and press "enter". Even if you make some typos, it should still work fine.

How to get the API key?

Create an account in https://www.themoviedb.org/, click on the API link from the left hand sidebar in your account settings and fill all the details to apply for API key. If you are asked for the website URL, just give "NA" if you don't have one. You will see the API key in your API sidebar once your request is approved.

How to run the project?

1. Clone this repository in your local system.
2. Install all the libraries mentioned in the requirements.txt file with the command pip install -r requirements.txt.
3. Replace YOUR_API_KEY at line no. 2 of static/recommend.js file.
4. Open your terminal/command prompt from your project directory and run the main.py file by executing the command python main.py.
5. Go to your browser and type http://127.0.0.1:5000/ in the address bar.
6. Hurray! That's it.

Sources of the datasets

1. IMDB 5000 Movie Dataset
2. The Movies Dataset
3. List of movies in 2018
4. List of movies in 2019
5. List of movies in 2020

Please do ⭐ the repository, if it helped you in anyway.