An AI agent that monitors computer activity and autonomously decides what food to order.
Project description
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
INTENSEwork state or aFUNrelaxed 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
- Install the agent:
pip install food-ai
- Configure
config.yamlwith your preferred apps and meals. - Run the agent:
python activity_food_agent.py
Development
activity_food_agent.py: Main logic.config.yaml: Configuration and meal database.agent_log.db: SQLite database for logs.
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