ML Model Deployment Needed

The goal of this project is to research and implement a machine learning (ML) model capable of changing facial expressions and hairstyles in portrait photos. The selected model should be efficient, accurate, and capable of handling diverse facial features and hair types. Additionally, the model will be hosted on replicate.com for easy accessibility and deployment.

Tasks:

1. Identify existing ML models and techniques for facial expression and hairstyle transformation in portrait photos.

2. Shortlist potential ML models based on their performance, versatility, and compatibility with the project requirements.

3. Develop a prototype using the chosen ML model for both facial expression and hairstyle transformation.

4. Ensure the model is capable of processing portrait photos and producing realistic transformations.

5. Validate the model against a diverse set of portrait photos with varying facial expressions and hairstyles.

6. Set up an account on replicate.com for model hosting. Package the trained model and associated files for deployment on replicate.com, so that our mobile app can call it as API. Ensure proper documentation.

Timeline:
Total timeline: 2 weeks.

Budget:
The budget is fixed $150. We will allocate more time/budget once we finish this initial phase of the project.