VibeBoost

VibeBoost is an AI-powered mood enhancer designed to detect emotions from user input and provide personalized recommendations. Whether you're feeling positive or need a motivational boost, VibeBoost is here to help!

🌟 Features

• Emotion Detection: Powered by a BERT-based model to classify emotions like sadness, joy, love, anger, fear, and surprise.
• Personalized Recommendations:
  • Positive moods: Memes, movies, and books to amplify happiness.
  • Negative moods: Motivational quotes, movies, and books to inspire and uplift.
• Frontend: Built using React and Tailwind CSS for a seamless and responsive user experience.
• Backend: Powered by Django to handle API integrations, emotion classification, and content delivery logic.

🛠️ Tech Stack

• Frontend: React, Tailwind CSS
• Backend: Django (API Integration, Model Integration)
• Model: BERT-based emotion classification
• APIs: Integrated for memes, quotes, movies, and books

🚀 Project Structure

VibeBoost/  
├── VibeBoost-Frontend/       # React frontend code  
├── VibeBoost-Backend/        # Django backend code (linked below)  

📂 Backend Repository

The backend code for this project is hosted in a separate repository. Access it here.

📖 How to Run the Project

1. Clone this repository and navigate to the project directory.
2. Install dependencies for the frontend:

   cd VibeBoost-Frontend  
   npm install  

3. Start the React frontend:

   npm run dev  

4. Clone the backend repository and follow the instructions in its README for setup.