food-ai 0.1.2

An AI agent that monitors computer activity and autonomously decides what food to order.

Food Agent Activity Monitoring

An AI agent that monitors computer activity and autonomously (or via confirmation) decides what food to order from Swiggy based on your work state.

Features

• Cross-platform Activity Sensing: Detects focused windows (Windows, macOS, Linux).
• State Classification: Uses a rolling window to determine if you are in an INTENSE work state or a FUN relaxed state.
• Dynamic Scoring: Different weights for nutrition, convenience, indulgence, and value based on state.
• SQLite Logging: Keeps track of all detected states and ordering decisions.
• Swiggy Placeholder: Ready for MCP integration.

Setup

1. Install the agent:

   pip install food-ai
   

2. Configure config.yaml with your preferred apps and meals.
3. Run the agent (background):

   python activity_food_agent.py
   

4. Launch the Dashboard:

   streamlit run dashboard.py
   

Development

• activity_food_agent.py: Main logic.
• config.yaml: Configuration and meal database.
• agent_log.db: SQLite database for logs.

Maintainer

• Sambit Mishra ([e-mail])