Fren Pet
Creating an interactive evolving AI agents users can own and nurture.
AI LLM (Large Language Model) Agents
Utilizes state-of-the-art language models like those based on transformer architectures (e.g., similar to GPT-4, LLaMA, or Grok) to facilitate natural language interaction.
Behavioral Learning Algorithms:
Implements reinforcement learning techniques to mimic pet-like behavior, learning from positive and negative feedback from the user to adjust personality traits, preferences, and habits.
Emotion Recognition and Generation:
Integrates sentiment analysis to understand user mood through text, potentially expanding to voice and image analysis in future updates. Uses this data to tailor responses that can cheer up, entertain, or comfort the user.
Fren Pet acts as a companion that users can interact with through text, potentially voice in future iterations. It offers companionship by engaging in conversations, playing games, or simply providing a listening ear.
All user data interactions are kept secure, with no unnecessary data shared outside the user's private ecosystem. Fren Pet emphasizes user privacy, ensuring that personal information and interaction history are not used or sold.
An intuitive mobile app or web interface where users can interact with their Fren Pet, customize its appearance (within the limits of AI generation), and manage settings for its learning and behavior.
Future Roadmap
Voice Interaction: Expanding to voice commands and responses.
Visual Recognition: Allowing Fren Pet to "see" through camera input for more interactive scenarios.
Multi-user Interaction: Fren Pets can interact with each other, creating a community or social aspect.
