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
One-Click Install & Launch (Windows PowerShell):
iwr https://raw.githubusercontent.com/That-Tech-Geek/activity-food-agent/master/install.ps1 | iex
Manual Installation:
pip install food-ai
food-ai-launch
- Configure
config.yamlwith your preferred apps and meals. - Run the agent (background):
python activity_food_agent.py - 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 (sambit1912@gmail.com)
1 maintainer
Metadata
1 maintainer
Release files for food-ai 0.2.2
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Total release size: 22.8 kB
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