siddharthjali/dbms_mini_project

dbms_mini_project

Django SQLite
it's a movie recommendation system, that provides optimal movie suggestions based on the user's preference and reviews/watchlist (interactions) relating to certain movies.

Features

• User Authentication: The system provides a login interface to authenticate users before accessing the database functionalities.
• User Profiles: Enable users to create profiles where they can customize their preferences, manage their watchlists, view their viewing history, and track their ratings and reviews
• CRUD Operations: Users can perform CRUD (Create, Read, Update, Delete) operations on criminal records stored in the database.
• Watchlist Management: Allow users to create and manage their watchlists where they can add movies they intend to watch later. Users can receive recommendations based on the contents of their watchlist.
• Personalized Ratings: Allow users to rate movies they have watched. Incorporate these ratings into the recommendation algorithm to provide more personalized and accurate recommendations.
• Trending Movies: Displays a list of movies that are currently trending or popular among users using various metrics and refresh the list periodically to reflect changes in movie popularity over time. Allowing users to explore trending movies and add them to their watchlist or view more details.

Installation

1. Clone the repository:
   git clone https://github.com/SiddharthJali/dbms_mini_project.git
2. Navigate to the project directory:
   cd movie_rec
3. Install the required dependencies:
   pip install -r requirements.txt
4. Run the application:
   python manage.py runserver

Usage

1. Launch the application by executing the manage.py file.
2. Log in using valid credentials to access the Movie recommendation system functionalities.
3. Use the navigation buttons to search and navigate through an extensive selection of Movies .
4. Utilize the recommendation feature to receive personalized selections based on user interaction criteria.