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

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

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 (sambit1912@gmail.com)