Moodify

Overview

Moodify is a mood-based video recommendation platform that suggests YouTube videos according to a user's current emotional state. Users can enter their mood through a simple interface, and the application communicates with a backend recommendation engine to fetch personalized video suggestions. The platform aims to enhance content discovery by providing recommendations tailored to the user's emotions.

Key Features

• Mood-based video recommendation system
• Personalized YouTube video suggestions
• Real-time recommendation generation
• Simple and intuitive user interface
• API-driven recommendation engine
• Dynamic video embedding using YouTube
• Fast content retrieval using Axios
• Responsive React-based frontend

Tech Stack

How It Works

• Mood Input: User enters their current mood or emotional state through the application's input field.
• API Processing: The mood is sent to the backend recommendation engine using an Axios API request.
• Mood Analysis: The backend analyzes the user's mood and identifies the most relevant content category.
• Video Recommendation: The system fetches matching YouTube videos based on the detected mood.
• Dynamic Display: Recommended videos are embedded and displayed directly within the application for instant viewing.

Mood Categories

• Happy - Positive and entertaining video recommendations
• Motivated - Inspirational and goal-oriented content
• Relaxed - Calming and stress-relief videos
• Energetic - High-engagement and action-oriented content
• Focused - Productivity and concentration-enhancing videos
• Reflective - Thought-provoking and emotionally engaging content

Project Links