A VAE-RNN model for generating personalized nutrition recommendations based on user profiles and activity schedules.
This model combines a Variational Autoencoder (VAE) with a Recurrent Neural Network (RNN) to generate personalized meal plans. The VAE encodes user profile information, while the RNN processes activity schedules to produce context-aware nutrition recommendations.
1from inference import load_model, generate_recommendation
2
3# Example user profile (biometric and health features)
4user_profile = [...] # 26-dimensional vector
5
6# Example activity schedule (7 days, 10 features per day)
7activity_schedule = [...] # Shape: [7, 10]
8
9# Generate recommendations
10meal_plan = generate_recommendation(user_profile, activity_schedule)
