Inspiration

There is a growing demand for personalized recommendation systems in various industries, including entertainment. Creating a movie recommendation website with sentiment analysis could be a lucrative business opportunity if you can attract a large user base and monetize the platform through ads or premium features. Movies have the power to influence people's emotions and perspectives, and a recommendation website with sentiment analysis could help people find films that resonate with them on a deeper level. By promoting films that explore important social issues or challenge conventional thinking, you could use our website to create positive change in the world.

What it does

The Movie-Match is designed to help users discover new movies that they are likely to enjoy based on their past viewing history and their expressed sentiments about movies.

How we built it

Using API, we performed Data Collection. Developed our User interface using CSS, Javascript, and Html. Installed the required libraries and called the API using Python. Generated movie suggestions using Python and the Database.

Challenges we ran into

Real Data collection of movies and a platform to connect that data to our Website.

Accomplishments that we're proud of

By building the Movie-Match, we are proud to display about the various machine learning algorithms and techniques, including collaborative filtering, matrix factorization, and deep learning.

What we learned

We have learned many Technical and Practical skills including: Natural Language Processing, Machine Learning and Web Development.

What's next for Movie-Match

We can proceed for the making of an App which can be supported by both Android and iOS users.

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