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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.

How to download and setup Movie-Recommendation-Chatbot

Open terminal and run command
git clone https://github.com/kaushikjadhav01/Movie-Recommendation-Chatbot.git
git clone is used to create a copy or clone of Movie-Recommendation-Chatbot repositories. You pass git clone a repository URL.
it supports a few different network protocols and corresponding URL formats.

Also you may download zip file with Movie-Recommendation-Chatbot https://github.com/kaushikjadhav01/Movie-Recommendation-Chatbot/archive/master.zip

Or simply clone Movie-Recommendation-Chatbot with SSH
[email protected]:kaushikjadhav01/Movie-Recommendation-Chatbot.git

If you have some problems with Movie-Recommendation-Chatbot

You may open issue on Movie-Recommendation-Chatbot support forum (system) here: https://github.com/kaushikjadhav01/Movie-Recommendation-Chatbot/issues

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