kaushikjadhav01/Movie-Recommendation-Chatbot

Movie Recommendation Chatbot provides information about a movie like plot, genre, revenue, budget, imdb rating, imdb links, etc. The model was trained with Kaggle’s movies metadata dataset. To give a recommendation of similar movies, Cosine Similarity and TFID vectorizer were used. Slack API was used to provide a Front End for the chatbot. IBM Watson was used to link the Python code for Natural Language Processing with the front end hosted on Slack API. Libraries like nltk, sklearn, pandas and nlp were used to perform Natural Language Processing and cater to user queries and responses.

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This project offers a Slack chatbot that helps you discover movies and get details about them. You input a movie title into Slack, and the bot provides information like its genre, plot, revenue, budget, IMDb rating, and a link to its IMDb page. It also suggests similar movies. This is ideal for movie enthusiasts or anyone looking for quick film information and recommendations within their Slack workspace.

No commits in the last 6 months.

Use this if you want a convenient way to get movie information and recommendations directly within your Slack application.

Not ideal if you need an extremely advanced recommendation system or if you don't use Slack as your primary communication platform.

movie-discovery film-recommendation entertainment-search chatbot-utility slack-integration
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 16 / 25
Community 18 / 25

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39

Forks

13

Language

Jupyter Notebook

License

MIT

Last pushed

Jan 13, 2024

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