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AI-powered name analysis and ethnicity prediction using the Namsor API

Actions14

Indian Caste → Predict by Full Name

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Overview

This node uses the Namsor API to predict the Indian caste group based on a full name and the associated Indian state or union territory. It is useful for applications that require demographic or cultural insights from names, such as social research, marketing segmentation, or personalized services in India. Users can input multiple names for batch processing and optionally receive simplified responses.

Use Case Examples

  1. Analyzing a list of full names from different Indian states to predict their caste groups for sociological research.
  2. Integrating caste prediction into a CRM system to tailor marketing campaigns based on cultural demographics.

Properties

Name Meaning
Names to Analyze A collection of full names along with their corresponding Indian state or union territory ISO codes to analyze for caste prediction. Supports batch input of up to 200 names.
Simplify A boolean option to return a simplified version of the API response instead of the raw detailed data.
Request Options Settings for request batching, SSL certificate validation, proxy configuration, and request timeout to control how API requests are made.

Output

JSON

  • name - The full name that was analyzed.
  • subdivisionIso - The ISO code of the Indian state or union territory associated with the name.
  • predictedCaste - The predicted Indian caste group for the given name.
  • confidenceScore - A confidence score indicating the reliability of the caste prediction.

Dependencies

  • Namsor API
  • An API key credential for Namsor API authentication

Troubleshooting

  • Ensure the API key credential is correctly configured and has sufficient quota to avoid authentication errors.
  • Batch size and interval settings should be adjusted to prevent rate limiting by the Namsor API.
  • If SSL certificate validation errors occur, consider enabling the 'Ignore SSL Issues' option cautiously.
  • Verify that the Indian state or union territory ISO codes are correctly selected to ensure accurate predictions.

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