PopcornPicks: Your movie recommender! Input movies, get tailored suggestions, and share via email. Elevate your movie choices effortlessly!
- Efficient: Lightning-fast recommendations for movie buffs! 🚀
- Adaptable: Tailor the recommendations to your taste.
- Accessible: Works across all platforms and shells.
- Insightful: Get movie insights at a glance.
- Comprehensive: Supports a wide array of user-preferred movies.
- Simple: Easy installation and setup – start discovering great movies in no time!"
Checkout for project documentation here
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PopcornPicks is a user-friendly movie recommender that curates a tailored list of 10 movie predictions based on user-provided movie preferences. Users can input their favorite movies, and our algorithm refines recommendations based on feedback—Liked, Disliked, or Yet To Watch. Additionally, PopcornPicks offers the convenience of emailing the recommended movies, enhancing the movie-watching experience. For the system architecture and other details, please refer to our documentation here
View our documentation outlining each class and function of PopcornPicks here
View our autogenerated doco here Doco
The project now uses MongoDB Atlas, which is highly scalable and fast.
The application is containerized using Docker, ensuring consistent deployment across all environments.
Implements an intelligent recommendation system using collaborative filtering to suggest personalized movie choices.
Utilizes modern React components with hooks for efficient state management and reusable UI elements.
We provide streaming links directly to the appropriate website for easier access.
Features an analytics dashboard that displays user-related data like genres.
Users can now create accounts, persisting data including their movie reviews and recommendations
The user can log in to their account securly with encrypted passwords stored in our database
The user can add friends, view the movies reviewed by the friends, and see their reviewed movies in their profile
The user can interact with other users, by viewing a community sourced wall of recent moview reviews
The user selects upto 5 movies to get a tailored watchlist and provide feedback for the same
The user sends his/her movies feedback via an email (Notify Me button)
Check out the significant changes that we made for Project 2 here
Our grading scorecard can be found here
Step 1: Git Clone the Repository
git clone https://github.com/se24ncsu/PopcornPicks.git
(OR) Download the .zip file on your local machine from the following link
https://github.com/se24ncsu/PopcornPicks
Step 2: Follow the setup instructions in the installation documentation
https://github.com/se24ncsu/PopcornPicks/blob/main/docs/install.md
OR
Step 1: Use docker image present at Docker Image and use
docker save -o popcorn.tar popcorn
docker load -i popcorn.tar
docker run -d -p 3000:3000 -p 5001:5001 popcorn
Finally, start enjoying personalized movie recommendations!
PopcornPicks is a dynamic project with endless possibilities for expansion and enhancement. Here are some exciting avenues for future development:
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Friends Recommend Movies: Let users get personalized movie recommendations from their friends for a more social experience!
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Parental Controls & Kids Mode: Family-friendly viewing! Add parental controls and a curated kids’ section to make Popcorn Picks safe and fun for all ages!
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Dynamic Movie Collections: Always stay relevant! Offer seasonal and trending collections like “Halloween Specials” and “Oscar Winners” based on user interests.
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Fun Trivia & Movie Quizzes: Keep users engaged with interactive trivia and quizzes about movies they've watched!
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Tech Improvement: Supercharge the backend with Express and Node.js for smoother, seamless integration with the React frontend! Upgrade the UI from bootstrap to tailwind to material UI.
The future of PopcornPicks is full of potential, and we invite developers, movie lovers, and anyone passionate about cinema to join us in making this platform the ultimate movie companion.
Please refer to the CONTRIBUTING.md if you want to contribute to the PopcornPicks source code. Follow all the guidelines mentioned in the same and raise a pull request, we would love to look at it ❤️❤️!
| Project 2 |  Srimadh V Rao |
 Akul G Devali |
 Manav D Shah |
Srimadh Rao
Akul Gopal Devali
Manav D Shah
In case of any issues, please e-mail your queries to [email protected] or raise an issue on this repository.
Our team of developers monitors this e-mail address and would be happy to answer any and all questions you have about setup or use of this project!
Contribute to the project and help us improve recommendations. Share your experience and film discoveries with us. Together, let's make PopcornPicks the ultimate movie companion! PopcornPicks is more than just code; it's a passion for cinema, and we invite you to be a part of this exciting journey. Start exploring, sharing, and discovering movies like never before with PopcornPicks! Let's make movie nights extraordinary together!
This project is under the MIT License.