Asuka
Templates by Asuka
Monitor NASA asteroid threats with AI fact-check and multi-channel alerts
Who Is This For? This workflow is designed for space enthusiasts, science educators, journalists, fact-checkers, and researchers who want to stay informed about near-Earth asteroid threats while filtering out media sensationalism. It's also valuable for anyone studying how different regions cover space-related news. What It Does This workflow creates an automated planetary defense monitoring system that: Scans NASA's Near Earth Object database for potentially hazardous asteroids over a 7-day window Searches news coverage across three regions (US, Japan, EU) to compare media reporting Uses AI (GPT-4o-mini) to fact-check news claims against official NASA data Detects misinformation and measures media sensationalism levels Generates visual charts comparing actual threat levels vs media panic Sends alerts through multiple channels (Slack, Discord, Email) Logs all alerts to Google Sheets for historical analysis How It Works Trigger: Runs daily at 9 AM or on-demand via webhook NASA Data Fetch: Retrieves 7-day asteroid forecast from NASA NeoWs API Threat Analysis: Identifies potentially hazardous asteroids and assigns alert levels (LOW/MEDIUM/HIGH) News Search: Searches news in US, Japan, and EU using Apify's Google Search Scraper AI Fact-Check: GPT-4o-mini compares news claims against NASA data, detecting misinformation Visualization: Generates gauge charts for threat level and media panic, plus regional comparison bar chart Multi-Channel Alerts: Sends formatted reports to Slack, Discord, Email, and logs to Google Sheets Set Up Steps Estimated time: 15-20 minutes NASA API (Required): Get your free API key at api.nasa.gov Apify (Required): Create account and connect via OAuth OpenAI (Required): Add your API key from platform.openai.com Notification Channels (Choose at least one): Slack: Create OAuth app and connect Discord: Create webhook URL Email: Configure SMTP settings Google Sheets (Optional): Create a sheet for logging with columns: Date, Alert Level, Hazardous Count, Threat Score, Media Panic Score, Misinformation Detected, Top Asteroid, Most Accurate Region Requirements NASA API key (free) Apify account (free tier available) OpenAI API key (paid) At least one notification channel configured n8n version 1.0+ How to Customize Change scan frequency: Modify the Schedule Trigger node Add more regions: Edit the "Configure Regional Search" code node Adjust alert thresholds: Modify lunar distance threshold (currently 10) in "Analyze Asteroid Threats" Disable channels: Simply remove connections to notification nodes you don't need Customize messages: Edit the "Format Multi-Channel Messages" node
By AsukaMultilingual email auto-replies with DeepL, GPT-4o and Slack human approval
Who's it for Customer support teams, sales representatives, and international business professionals who need to handle multilingual email communication efficiently while maintaining quality control through human approval. How it works This workflow automates email responses by: Monitoring Gmail for emails with a specific label (e.g., "To_Process") Translating the email content using DeepL to your preferred language Generating an AI-powered summary and draft reply using OpenAI Requesting approval via Slack with a summary and one-click approval link Sending the reply only after human approval is received Removing the label to prevent reprocessing Set up steps Setup takes approximately 15-20 minutes: Configure credentials for Gmail, DeepL, OpenAI, and Slack Create a Gmail label for emails to process Update the Slack channel ID in the configuration node Ensure n8n is accessible via webhook (tunnel or production mode required) Requirements Gmail account with OAuth2 authentication DeepL API key (free tier available) OpenAI API key Slack workspace with OAuth2 app configured n8n instance accessible via webhook URL How to customize the workflow Change translation language: Modify the DeepL node's target language Adjust AI model: Switch between GPT-4 or GPT-3.5 in the OpenAI node Customize approval message: Edit the Slack message format Add multiple languages: Duplicate the translation node for multi-language support Filter specific senders: Add conditions to process only certain email addresses
By AsukaJapanese-to-English review sentiment analysis with GPT and Telegram alerts
Who is this for This template is designed for e-commerce businesses, customer support teams, and marketing professionals who need to monitor and analyze customer reviews at scale. It's especially useful for teams dealing with multilingual reviews (Japanese to English) and those who want instant alerts for critical feedback. What it does This workflow automatically processes customer reviews stored in Google Sheets using OpenAI GPT. For each review, it performs: Translation from Japanese to English Sentiment analysis with a score from -1.0 to +1.0 Importance classification (High/Medium/Low) based on urgency Category tagging (Quality, Price, Shipping, Support, Features, Usability, Other) Key phrase extraction for quick summary Results are written back to the spreadsheet, and Telegram notifications are sent based on priority level. How to set up Connect your Google Sheets account and select your review spreadsheet Configure OpenAI API credentials Set up Telegram Bot and enter your Chat ID in both notification nodes Adjust the schedule trigger interval as needed Requirements Google Sheets with columns: ReviewID, Keyword (review text), ProcessStatus OpenAI API key Telegram Bot Token and Chat ID How to customize Modify the AI prompt in "AI Agent - Review Analysis" to change analysis criteria or add new fields Adjust the sentiment threshold (-0.5) in "Check Importance & Sentiment" node Customize notification messages in Telegram nodes Change the source/target language by editing the prompt
By Asuka