Project Proposal


FilmFinder - Your Movie Decision Companion


Summary of the Focus of the Site:
FilmFinder is a data-driven website designed to solve the common problem of indecision when it comes to choosing a movie to watch. The platform will provide personalized movie recommendations based on user preferences and crowd-sourced data. It aims to streamline the movie selection process by leveraging user reviews, ratings, genre and occasion to suggest the perfect film for each user.

Audience for the Project:
FilmFinder targets a broad audience, including college students at USC and movie enthusiasts of all ages who often struggle with choosing a movie to watch. It caters to those seeking a convenient solution for their movie-related decisions, whether they are looking for a relaxing night in, a date night, or a fun movie night with friends.

Discussion of the Underlying Data for the Site:
  1. Movie Database:
    FilmFinder will incorporate a comprehensive movie database, including details such as movie titles, genres, directors, release years, studio and cast information. This data will be sourced from trusted movie databases, ensuring accurate and up-to-date information.

  2. Crowd-Sourced Recommendations:
    Users can contribute to the platform by sharing their favorite movie lists, creating themed movie collections, and suggesting movies for specific moods or occasions. This crowd-sourced data will enrich the variety of movie options available.

Database Schema Sketch:


schema

Pitch Video: