Creating a Nickname Prediction Model

Requirements Clarification & Assessment

1. Objective:

   • Develop a machine learning model that predicts potential nicknames from a person's legal first name.

2. Data Sources:

   • Determine available data sources that contain mappings of legal names to nicknames.
   • Consider leveraging social media mentions, Wikipedia, or other databases.

3. Model Scope:

   • Clarify if the model should handle both common and uncommon nicknames.
   • Determine if the model needs to account for cultural or regional variations in nicknames.

4. Output Format:

   • Define how the output should be presented (e.g., list of nicknames with probabilities).

5. Performance Metrics:

   • Establish metrics for model evaluation such as precision, recall, and F1-score.

6. Constraints:

   • Assess latency requirements for nickname prediction.
   • Understand legal and ethical considerations, especially regarding privacy.

7. User Interaction:

   • Determine if the model needs to be personalized for individual users or generalized across all users.