Emojiflix is an innovative web application that blends advanced AI technology with a seamless user experience, built using React, Express, Node.js, and Supabase. With Emojiflix, users can share their mood, and the chatbot intelligently recommends movies tailored to their emotional state. Beyond just recommendations, Emojiflix allows users to dive deeper into the world of cinema — exploring movie plots, learning about cast members, and engaging in rich, conversational interactions about films.
2023 - 2023
Emojiflix is an innovative web application developed using React, Express, Node.js, and Supabase. It leverages cutting-edge fine-tuning technology where the GPT-3.5 Turbo model has been expertly refined to provide accurate JSON-formatted responses. With Emojiflix, users can share their mood, and the chatbot will intelligently recommend movies that perfectly match their feelings. Additionally, users can engage in conversations about movies, explore plots, learn about casts, and discover much more. Emojiflix is your ultimate companion for finding the perfect film, tailored to your emotions! To watch demo of emojiflix click on EmojiFlix Demo Video.
Engage with a chatbot fine-tuned on GPT-3.5 Turbo for personalized movie recommendations.
Share your mood and receive tailored movie suggestions instantly.
Explore detailed movie information, including plots, casts, and genres.
Enjoy seamless integration of React, Express, Node.js, and Supabase for a robust experience.
Discover a conversational approach to exploring and learning about movies.
The technical stack of Emojiflix includes React, Express, Node.js, and Supabase, along with Tailwind CSS for creating a responsive and visually appealing design. The application integrates the MovieDB API to provide users with accurate and up-to-date movie information, including plots, casts, and genres. Additionally, advanced GPT-3.5 fine-tuning has been implemented to enable intelligent, conversational interactions. Emojiflix combines these technologies to deliver a seamless and engaging user experience.
React.js for creating an interactive and responsive user interface.
Express.js for efficient server-side logic and API handling.
Node.js for building a scalable and robust backend.
Supabase for real-time database management and authentication.
Tailwind CSS for designing a modern, responsive UI.
MovieDB API for fetching detailed movie data, including plots and casts.
OpenAI GPT-3.5 Turbo for fine-tuned conversational intelligence.
Vercel for deploying the frontend with fast and reliable hosting.
Emojiflix is an AI-driven movie recommendation platform designed to enhance the way users discover films. By leveraging a fine-tuned GPT-3.5 Turbo model, the platform offers personalized recommendations based on the user's mood, while also enabling detailed exploration of movie plots, casts, and genres. Built with a responsive UI using React and Tailwind CSS, and enriched with the MovieDB API, Emojiflix ensures accurate and up-to-date movie information, creating a seamless and engaging user experience.
AI-powered chatbot for personalized movie recommendations based on user mood.
Detailed movie exploration: Discover plots, casts, genres, and more.
Fine-tuned GPT-3.5 Turbo for accurate and engaging conversations.
MovieDB API integration for up-to-date movie information.
Responsive and user-friendly UI built with React and Tailwind CSS.
Users can engage with the bot, sharing details about their current mood or emotional state—whether they’re feeling happy, sad, adventurous, or nostalgic. The chatbot leverages the powerful GPT-4 API to analyze the user's input and curate a list of movies that align perfectly with their feelings. By offering tailored suggestions, Emojiflix transforms the process of choosing a movie into an intuitive and enjoyable experience. Whether you’re looking for a heartwarming comedy or an action-packed thriller, Emojiflix ensures you’ll find the perfect match.
Emojiflix enhances your movie discovery experience with intuitive, pre-built buttons for various genres like Romantic, Comedy, Adventure, Thriller, and more.
Instead of typing, simply click a button to convey your mood, and the chatbot instantly curates tailored movie recommendations powered by the GPT-4 API. After receiving suggestions, you can provide feedback using "Yes" or "No" buttons, helping the bot refine its choices further. This seamless interaction ensures that discovering your next favorite movie is quick, engaging, and perfectly suited to your mood.
In this project, users are empowered with customizable filters that enhance the movie recommendation process. Users can select their preferred movie date, language (English or Italian), and rating to tailor the recommendations to their tastes. The bot actively learns from the user's responses, analyzing previous recommendations and the user’s feedback. As the conversation progresses, the bot refines the list of suggestions by incorporating the filtered options, ensuring that each recommendation aligns with the user's evolving preferences. This
Users can dive into a deeper understanding of movies through detailed insights on plots, casts, genres, and more. If a user asks about a film, such as "Tell me more about Little Miss Sunshine," the bot responds with a thorough description, covering key elements like the movie's plot, the cast, and its genre. This feature enhances the user experience by offering comprehensive information on movies, enabling users to explore and learn more about their favorite films, characters, and storylines with ease.
Users can easily like their favorite movies by clicking on a heart icon. When a movie is liked, it gets saved to the user's personalized list and database for quick access. These liked movies are displayed on the homepage, showing the movie cover for easy recognition. By clicking on any saved movie, users can explore more, including detailed information such as the plot and other relevant details. This feature allows users to keep track of their favorite movies while providing an easy and interactive way to dive deeper into their movie preferences.
The integration of the MovieDb API allows users to effortlessly find out where their favorite movies are available for streaming. The platform displays icons for popular streaming services such as Netflix, Disney+, Hotstar, and others. Users can simply click on the icons, which will redirect them directly to the respective streaming service's website. This seamless integration makes it easy for users to watch the movie they are interested in, without having to search through multiple platforms.
It streamlines the process, enhancing the overall user experience while offering direct access to their desired content.
To further simplify the process, voice command functionality has been integrated into the app. Users can now use voice commands to interact with the bot, making the experience more intuitive and hands-free. Whether it's selecting a movie genre, asking for recommendations, or even inquiring about specific movie details, users can simply speak their preferences. The voice command feature enhances
The Emojiflix web app utilizes two finely tuned models to ensure a seamless and personalized user experience.
Conversational Model: This model is designed to engage in a dynamic conversation with users, helping them express their moods, preferences, and desires. It provides personalized movie recommendations based on user input, guiding users through various genres, plots, and preferences. The model is trained to understand subtle variations in language and context, ensuring the conversation flows naturally.
Filtering Model: The second model is responsible for analyzing the entire conversation in real-time, including previous interactions and recommendations. It processes the user's responses and applies sophisticated filtering techniques to present an accurate and relevant list of movie recommendations. The filtering model takes into account user preferences, movie ratings, language, and genre, creating a refined list that aligns with the user's needs.
Both models have been fine-tuned for optimal performance, working together to deliver personalized and precise movie suggestions based on the user's mood, history, and preferences.
Emojiflix is crafted with a focus on responsiveness and user-friendly design, providing a smooth experience across all devices. Whether on a smartphone, tablet, or desktop, the app adjusts seamlessly to fit various screen sizes. The intuitive interface allows users to navigate effortlessly, with clear menus and easy-to-use buttons. Features like movie filters, platform icons for direct redirection, and the ability to save favorites with a
Below is the demo video for the Emojiflix project, where you can explore its innovative features and functionality in detail. This demonstration provides an in-depth look at how Emojiflix works, highlighting its design, user experience, and unique capabilities to bring emojis to life.
Muhammad Anique
A passionate Full Stack Web Developer with expertise in modern web technologies, including Next.js ,React.js, Node.js , and Express.js.
anique.cs@gmail.com
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