Replaces manual activity scheduling by integrating environmental data from NASA POWER. Uses Streamlit and AI to automate schedule generation based on real-time climate constraints.
Tech Stack
PythonCalendar & Scheduling
Why Nasa_Smart-_Activity_Planner?
• Direct NASA data integration
• AI-driven alternative generation
• Lightweight Streamlit deployment
Limitations
• Limited to climate-based logic
• Requires Python environment
• Basic UI components
10/7/2025
Last Update
0
Forks
0
Issues
Unknown
License
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