adona-dev/NasaSpaceApp

# NasaSpaceApp 🚀 Space Weather Alerts for Farmers (S.W.A.F.) S.W.A.F. is a comprehensive monitoring system designed to protect farmers' investments by translating complex NASA and NOAA space weather data into localized, actionable alerts delivered via WhatsApp. 🌟 Key Features Three-Source Data Aggregation: Combines data from \text{NOAA} (\text{Kp} index), \text{NASA} \text{FLR} (Flares), and \text{NASA} \text{CME} (Coronal Mass Ejections) for accurate risk scoring. Actionable Alerts: Sends customized, localized messages (e.g., Malayalam) instructing farmers on how to protect \text{GPS} systems and power backups. Continuous Monitoring: Backend runs every 5 minutes using the schedule module. Full-Stack Solution: Includes a backend data engine and a simple, live web dashboard. 🛠 Setup and Execution Guide Follow these steps to get the project running on your local machine. 1. Prerequisites You must have Python 3 and pip installed. 2. Install Dependencies Install all required Python packages using pip: pip install requests twilio python-dotenv Flask schedule 3. Configuration (The .env File) NEVER SUBMIT YOUR ACTUAL .env FILE! Create a file named .env in the root directory. Fill it with your credentials (obtained from \text{Twilio} and \text{api.nasa.gov}): 4. Launching the System (Two-Terminal Process) The system requires two separate commands run in two different PowerShell/CMD windows to operate the backend and the frontend simultaneously. Ensure both terminal windows are in the project folder: C:\Users\...\space_alert_bot> Step 4A: Launch the Backend (Data Monitor) The backend calculates risk and updates the status.json file every 5 minutes. In Terminal 1, run: python space_alert_bot.py Output: The script will confirm it's entering the Continuous Monitoring Loop. Action: If the risk level changes, a message will be sent to the configured \text{WhatsApp} number. Step 4B: Launch the Frontend (Web Dashboard) The frontend starts the web server that reads the status.json …