Hey Everyone , This is an Movie Recommendation system project , made using the python libraries(stremlit , pandas, nltk ,sklearn)
I have used the TMBD data set 1> tmbd_5000_movies.csv 2> tmbd_5000_credit.csv (data set from kaggle website)
for the recommendation feature , have made a similarity vector (1-0) for all the movies and on the basis of this the movies are recommended for the selected movie.
I have also used the TMBD Api for the fetch of poster of movies based on their movie_id . reffer the TMBD.api for the futher reffernce .
Hosted the project using the streamlit share
#Url = https://movierecommendationsystem-iu0oi5d48xo.streamlit.app/
any feadback is apreciated .