The Movie Recommendation System is a simple C-based application that suggests movies to users based on their preferences. The system stores a list of movies, and users can input their preferences (such as genre, rating, or specific movie keywords). Based on these inputs, the system recommends movies from the list.

Key Features

Movie Database

• A predefined list of movies is stored in the system, with attributes such as title, genre, and rating.
• Each movie is assigned to one or more categories (e.g., Action, Comedy, Drama, etc.).

User Preferences

• Users can enter their preferences like preferred genre or minimum movie rating.
• The system takes this input and filters the movie list based on these preferences.

Movie Recommendation

• The system matches the user’s preferences with the available movies.
• It then recommends movies that meet the criteria (e.g., a movie in the selected genre with a rating above a certain threshold).

Basic Text-Based Interface

• The program runs in the command line interface, where users interact by entering choices or inputs.
• The system outputs a list of recommended movies based on the user’s input.

Technologies Used

• C Programming Language for writing the application logic
• Arrays or Structs to store movie data, such as title, genre, and rating
• Conditionals (if-else) to filter and recommend movies based on user input

How It Works

• Movie List: The system initializes an array or a list of movie data (title, genre, rating).
• User Input: The user is prompted to input their preferences, such as a preferred genre or minimum rating.
• Movie Filtering: The system uses simple if-else conditions or loops to compare the user’s input with the available movies.
• Recommendations: After comparing, the system filters out and recommends movies that match the user’s criteria.
• Output: The recommended movies are displayed to the user in the terminal or command line interface.

Why It’s Useful

• A great project for beginners to practice using C and to understand basic concepts like loops, conditionals, arrays, and structs.
• A foundation for more complex recommendation systems, which could later incorporate features like machine learning or external APIs for movie data.

Possible Add-ons

• Search by Movie Name: Add the ability to search for a specific movie by name and view its details.
• Multiple Criteria: Allow users to filter based on multiple criteria at once, such as genre, rating, and year.
• User Preferences Memory: Store the user's preferences (such as preferred genre) so they don't have to input them every time.
• Expanded Database: Load movie data from an external file or database rather than hardcoding it in the program.