Workflow Product

Food image analysis for calorie estimation with Vision AI and Telegram

Who’s it for Teams building health/fitness apps, coaches running check-ins in chat, and anyone who needs quick, structured nutrition insights from food photos—without manual logging. ## What it does / How it works This workflow accepts a fo...

Support MessagingminamiSingle PurchasePublished
Category
Support Messaging
Source
minami
Delivery
One-time access
Complexity
16 nodes
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Workflow Structure Preview
16 total nodes • 5 automation blocks • Agent • OutputParserStructured • TelegramTrigger
Delivery package includes the actual export, setup notes, and implementation guidance.
Asset OverviewView Source
16 workflow nodes configured.
AgentOutputParserStructuredTelegramTriggerLmChatOpenRouterGmailN8n Nodes Base.TelegramTrigger
What This Product Includes
Workflow record
Execution metadata
Catalog status fields
Delivery attachment pending final packaging
Metadata Properties
Views
695
Votes
0
Creator
minami
Ai Enabled
true
Node Count
16
Nodes Count
5
Original Url
https://n8n.io/workflows/9619
Quality Tier
high
Quality Score
10.01
Category Label
Support & Messaging
Category Primary
support-messaging
Workflow Structure
[ "AI Agent - 食材分析", "Structured Output Parser", "Telegram Trigger", "OpenRouter Chat Model", "Format for Gmail", "Send a message1", "Sticky 1: Overview", "Sticky 2: Prerequisites", "Sticky 3: Input Format", "Sticky 4: Model & Prompt", "Sticky 5: Output Schema", "Sticky 6: Test Steps", "Sticky 7: Errors & Limits", "Sticky 8: Security", "Sticky 9: Delivery", "Sticky 10: Extensibility" ]
This workflow is live in the catalog. Delivery packaging and richer setup metadata may still be attached incrementally.
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