Recommendo : The content recommendation system based on user facial emotions and textual input.
Recommendo is an innovative recommendation system designed to provide tailored suggestions for movies, songs, and books based on the user's mood. The project combines advanced computer vision techniques with text analysis for comprehensive mood recognition. By using a trained deep learning model, Recommendo identifies the user's emotional state through facial recognition, and it also leverages natural language processing to analyze text input for mood detection. Once the mood is determined, the system prompts the user to choose a category—movies, songs, or books—and delivers personalized recommendations by mapping the detected mood to specific genres or themes. The project integrates data from curated datasets, enabling robust and contextually relevant suggestions. Recommendo exemplifies a blend of artificial intelligence, machine learning, and data science, offering an engaging and customized user experience that simplifies content discovery.