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A webapp made in Kotlin that tells you what movie to watch [made for ITCS 4102 at UNCC]

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What-to-Watch

A webapp made in Kotlin
Developed by: Salma Hanafi, Marwa Alqatari, and Hunter Kepley

How to run

Download IntelliJ IDEA

Open server/ folder

Run in IntelliJ IDEA (using a regular Kotlin Build Configuration)

Go to localhost:8080

Database used

We used Kaggle for the CSV used for the movies using a public domain CSV of movies

Link to the Kaggle page

Here is the Context for the dataset:

These files contain metadata for all 45,000 movies listed in the Full MovieLens Dataset. The dataset consists of movies released on or before July 2017. Data points include cast, crew, plot keywords, budget, revenue, posters, release dates, languages, production companies, countries, TMDB vote counts and vote averages.

This dataset also has files containing 26 million ratings from 270,000 users for all 45,000 movies. Ratings are on a scale of 1-5 and have been obtained from the official GroupLens website.

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A webapp made in Kotlin that tells you what movie to watch [made for ITCS 4102 at UNCC]

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