Cineflow is an AI-powered video transition tool that creates smooth transitions between video clips. It uses machine learning and computer vision to analyze videos and automatically generate transitions tailored to your desired style.

• Automatic Transitions: Creates smooth transitions between two video clips.
• Scene Analysis: Determines the best transition style based on video content.
• Custom Options:
  • Transition length (5-9 seconds)
  • Aspect ratios (9:16, 16:9, 1:1, 3:4, 4:3)
  • Resolution choices (1080p, 720p, 540p)
• Text-Based Prompts: Describe your transition style simply in words.
• Instant Preview: View generated transitions directly in your browser.

• Frontend:

  • React
  • Tailwind CSS
  • Vite
  • Axios

• Backend:

  • Python
  • TensorFlow (Vision Transformer model)
  • OpenCV
  • Flask/FastAPI

• AI/ML:

  • Vision Transformer (ViT)
  • Luma AI
  • Cloudinary

Make sure you have:

• Node.js (v16+)
• Python (v3.8+)
• npm or yarn

1. Clone the repository

   git clone https://github.com/yourusername/cineflow.git
   cd cineflow

2. Install frontend dependencies

   npm install

3. Install Python dependencies

   pip install -r requirements.txt

4. Configure environment variables Create a .env file:

   CLOUDINARY_CLOUD_NAME=your_cloud_name
   CLOUDINARY_API_KEY=your_api_key
   CLOUDINARY_API_SECRET=your_api_secret
   LUMA_API_KEY=your_luma_api_key

5. Start servers

   npm run dev
   
   # In another terminal
   python server/app.py

1. Go to http://localhost:5173
2. Upload two videos
3. Choose transition settings:
   • Duration
   • Aspect ratio
   • Resolution
   • Prompt for style
4. Generate your transition
5. Preview and download the result

Contributions are welcome:

1. Fork the repository
2. Create a feature branch (git checkout -b feature/NewFeature)
3. Commit changes (git commit -m 'Add NewFeature')
4. Push to branch (git push origin feature/NewFeature)
5. Open a Pull Request

Licensed under the MIT License. See the LICENSE file for details.