💬 Analyze product ingredient photos with Telegram & Gemini 2.5 Flash

⚡ 377 views · 💬 Support Chatbots

Description

Analyze Ingredient Photos using Telegram & Gemini AI

Who’s it for

• Skincare enthusiasts who want to know if a product is safe.
• Food or supplement buyers checking ingredient safety.
• Parents reviewing kids’ products.
• Anyone wanting quick ingredient analysis before using/buying a product.

How it works / What it does

1. Telegram Input – User sends a photo of a product label or a text list of ingredients.
2. Photo Handling – Workflow checks if the message contains a photo.
   • If yes → retrieves the file, extracts ingredients using Google Gemini AI.
   • If no → handles text/greetings/off-topic queries.
3. Caption Branching
   • With caption → Gives Use / Do Not Use recommendation + reason.
   • Without caption → Gives Advantages, Disadvantages, Recommended For, Not Recommended For (3 points each).
4. Response on Telegram – Sends a friendly, structured response back to the user.

How to set up

1. Import this workflow JSON into n8n.
2. Create and connect a Telegram bot via BotFather → paste the API token in Telegram credentials.
3. Add Google Gemini (PaLM) API credentials inside n8n.
4. Activate the workflow and send your first product photo via Telegram!

Requirements

1. n8n instance (self-hosted or cloud).
2. Telegram bot token.
3. Google Gemini API credentials.

How to customize the workflow

• Change AI Instructions – Update system messages to tweak tone (more technical, casual, or medical).
• Adjust Output Format – Edit Telegram response nodes for shorter/longer answers.
• Expand Analysis – Add extra categories (e.g., allergens, environmental impact).
• Multi-language Support – Modify prompts to output in the user’s preferred language.
• Add Database Logging – Connect to MySQL, PostgreSQL to save conversations (user queries + AI responses).

🔗 Nodes Used

Telegram, Telegram Trigger, AI Agent, Structured Output Parser, Google Gemini Chat Model, Google Gemini

📥 Import

Download workflow.json and import into n8n: Workflow menu → Import from File

📖 Importing guide · 🔑 Credential setup