Product ingredient safety analyzer with Google Gemini via WhatsApp
Product Ingredient Safety Analyzer with AI via WhatsApp
What does this workflow do?
This workflow creates an intelligent WhatsApp bot that analyzes product ingredients and provides instant safety assessments. Users can send either text queries (product names/brands) or images of product labels, and receive AI-powered analysis covering food, cosmetics, personal care, pharmaceuticals, and household products.
Who's it for?
- Health-conscious consumers wanting to make informed purchasing decisions
- Parents checking product safety for their children
- People with allergies or sensitivities screening for harmful ingredients
- Beauty and skincare enthusiasts verifying cosmetic product safety
- Wellness coaches or nutritionists helping clients evaluate products
- Small business owners offering product safety consultation services
- Eco-conscious consumers checking for environmental toxins
- Anyone looking to understand what's in their everyday products
What do you need to get started?
Required Accounts & APIs:
- WhatsApp Business API - For receiving and sending messages
- Google Cloud Account - For Document AI (OCR) service
- Google Gemini API - For AI-powered ingredient analysis
Setup Steps:
- Configure WhatsApp Business API credentials
- Enable Google Document AI in your Google Cloud project
- Create a Document AI processor for OCR
- Set up Google Gemini API access
- Configure all credentials in N8N
How does this workflow work?
User Input Options:
- Text Messages: Send product name/brand (e.g., "Dove soap", "Coca Cola")
- Images: Upload photos of product ingredient labels
- Conversational: Ask questions or request help
Processing Flow:
For Image Messages:
- WhatsApp receives image message
- Extracts and downloads the image
- Converts image to Base64 format
- Uses Google Document AI OCR to extract text
- AI analyzes extracted text + user caption
- Returns safety assessment via WhatsApp
For Text Messages:
- WhatsApp receives text query
- AI directly analyzes product name/ingredients
- Returns safety assessment via WhatsApp
AI Analysis Includes:
- Product type identification (food, cosmetic, pharmaceutical, etc.)
- Harmful ingredient detection (parabens, sulfates, trans fats, etc.)
- Beneficial ingredient highlights
- Clear safety verdict: ✅ SAFE / ⚠️ CAUTION / ❌ AVOID
- Practical recommendations and alternatives
Response Format:
The AI provides concise, WhatsApp-friendly messages with:
- Product category and type
- Key ingredients found
- Safety concerns with specific flags
- Clear recommendation
- Actionable advice
Use Cases
- Health-conscious consumers checking food product ingredients
- Beauty enthusiasts verifying cosmetic safety
- Parents ensuring child product safety
- People with allergies screening for harmful ingredients
- Eco-conscious users checking for environmental toxins
- General wellness making informed purchase decisions
Key Features
- Dual input support: Text and image processing
- OCR technology: Extracts text from product labels
- Multi-category analysis: Food, cosmetics, pharmaceuticals, household items
- Conversational AI: Handles greetings, help requests, unclear queries
- Mobile-optimized: WhatsApp-friendly formatting
- Instant results: Real-time safety assessments
- Educational: Explains why ingredients are safe or harmful
Technical Highlights
- Smart routing: Automatically detects message type (text vs image)
- Structured output: JSON-formatted AI responses for reliability
- Product-specific criteria: Different analysis standards per category
- Error handling: Requests clearer images if OCR fails
- Conversational fallback: Guides users when information is insufficient
Example Interactions
User sends image of shampoo bottle: Response: "Hair Care Product Analysis - Contains sulfates and parabens. ⚠️ USE WITH CAUTION. Consider sulfate-free alternatives for healthier hair."
User texts "Maggi noodles": Response: "Food Product Analysis - High sodium content, contains MSG and artificial colors. ❌ AVOID REGULAR CONSUMPTION. Occasional treat okay."
User texts "Hi": Response: "Hi! I'm your Product Safety Analyzer. Send me a product name or photo of ingredients to check safety!"
Benefits
- Empowers informed decisions: Know what you're consuming/using
- Saves research time: Instant analysis vs manual ingredient lookup
- Accessible: Works via familiar WhatsApp interface
- Comprehensive: Covers multiple product categories
- Educational: Learn about ingredient safety over time
- Convenient: Analyze products while shopping
Notes
- OCR works best with clear, well-lit images
- AI provides general safety information, not medical advice
- Analysis based on commonly known ingredient safety standards
- Users should consult professionals for specific health concerns
- Supports conversational queries for better user experience
9098-product-ingredient-safety-analyzer-with-google-gemini-via-whatsapp
This n8n workflow acts as a powerful product ingredient safety analyzer, leveraging Google Gemini's AI capabilities to provide instant safety assessments directly via WhatsApp. Users can send product ingredient lists, and the workflow will process them using an AI agent to determine and communicate potential safety concerns.
What it does
This workflow automates the following steps:
- Listens for WhatsApp Messages: It triggers when a new message is received on a configured WhatsApp Business Cloud account.
- Extracts Message Content: It extracts the text content from the incoming WhatsApp message, which is expected to be a list of product ingredients.
- Analyzes Ingredients with AI: It passes the extracted ingredient list to a Google Gemini AI Agent. This agent is configured to analyze the ingredients for safety concerns.
- Parses AI Output: The AI agent's response is then processed by a Structured Output Parser, likely to extract specific safety information in a structured format.
- Responds via WhatsApp: The analyzed safety information (or a summary from the AI) is sent back to the user who initiated the request via WhatsApp.
Prerequisites/Requirements
To use this workflow, you will need:
- n8n Instance: A running n8n instance.
- WhatsApp Business Cloud Account: Configured and connected as a credential in n8n for both the WhatsApp Trigger and WhatsApp Business Cloud nodes.
- Google Gemini API Key: A Google Gemini API key configured as a credential for the Google Gemini Chat Model node.
Setup/Usage
- Import the Workflow: Download the provided JSON and import it into your n8n instance.
- Configure WhatsApp Credentials:
- Set up your WhatsApp Business Cloud credentials in n8n.
- Configure the "WhatsApp Trigger" node to listen for incoming messages on your desired WhatsApp number.
- Configure the "WhatsApp Business Cloud" node with the same credentials to send outgoing messages.
- Configure Google Gemini Credentials:
- Set up your Google Gemini API key as a credential in n8n.
- Configure the "Google Gemini Chat Model" node to use these credentials.
- Activate the Workflow: Once all credentials are set up and the nodes are configured, activate the workflow.
- Interact: Send a list of product ingredients to your configured WhatsApp number. The AI will analyze them and respond with a safety assessment.
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