AI Passport Photo Validator Agent (Gemini Vision)

Unlock Automated Compliance Checks with this AI Agent

This AI Agent streamlines the process of verifying whether portrait photos meet the stringent requirements for UK passport applications. It ingests images, leverages the advanced vision understanding of Google Gemini Pro, and cross-references them against official UK government guidelines embedded in its prompt. The agent then outputs a clear, structured assessment, including a validity status (true/false), a detailed description of the photo's content, and specific reasons if a photo fails validation. This is invaluable for services requiring compliant photos, significantly reducing manual review time and errors, and ensuring a higher first-time acceptance rate for applications.

Key Features & Benefits

• AI-Powered Validation: Utilizes Google Gemini's multimodal capabilities for accurate image analysis and understanding in the context of specific rules.
• Rule-Based Compliance: Validates photos against a comprehensive set of predefined criteria (UK government passport photo rules in this example, but customizable).
• Automated Image Ingestion & Preprocessing: Fetches images from provided URLs (e.g., Google Drive in the template, adaptable to other sources) and resizes them for optimal AI performance.
• Structured Output: Delivers clear, actionable feedback in JSON format: is_valid (boolean), photo_description (AI-generated description of the image), and reasons (an array of strings detailing non-compliance issues).
• Efficiency Boost: Drastically cuts down on manual photo review time and associated costs.
• Consistency & Accuracy: Ensures uniform application of validation rules, minimizing human error and subjectivity.
• Adaptable Framework: Built with n8n and Langchain, allowing for easy customization of rules, image sources, or even the underlying AI vision model.

• An n8n instance (Cloud or self-hosted).
• Google Cloud Project with Vertex AI API enabled.
• Credentials for Google Gemini API (e.g., Service Account Key or appropriate authentication configured in n8n for the 'Google Gemini Chat Model' node).
• (Optional) Google Drive credentials if using the provided example for photo input via the 'Download Photos' node.

1. Download the n8n workflow JSON file.
2. Import the workflow into your n8n instance.
3. Configure the 'Google Gemini Chat Model' node: Select your existing Google Gemini API credentials or create new ones. Ensure a vision-capable model like 'gemini-1.5-pro-latest' is selected.
4. (Optional) Update Image Source: The 'Photo URLs' node contains example Google Drive links. Modify this node to input your image URLs, or replace it and the 'Download Photos' node with your preferred image input method (e.g., webhook, form submission, other cloud storage, direct binary input).
5. If using Google Drive as per the template, ensure the 'Download Photos' node is configured with your Google Drive credentials.
6. Customize Validation Rules: Review and modify the system prompt within the 'Passport Photo Validator' (Langchain LLM Chain) node. The current prompt uses UK government passport photo guidelines. Adapt this text if you need to validate against different rules or criteria.
7. Verify Output Structure: Check the JSON schema in the 'Structured Output Parser' node. Adjust it if you require a different output format from the AI.
8. Activate the workflow and test with various images to ensure it performs as expected.