Is your feature request related to a problem?

• Yes, it is related to a problem
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Describe the feature you'd like

🌟 Feature Description

Add a reusable backend utility module for creator profile data preprocessing, to support AI-powered features like sentiment analysis, niche extraction, and sponsorship pricing. The module will clean and normalize creator input data into structured formats suitable for downstream AI processing.

🔍 Problem Statement

Currently, InPactAI has several planned AI components (e.g., #11, #13, #22), but no unified preprocessing step for creator data. Without a standard pipeline, data inputs may be inconsistent, reducing model accuracy and reusability across features.

This feature will solve the problem by introducing a centralized utility that prepares creator data for AI modules, improving code modularity and scalability.

🎯 Expected Outcome

• A new file creator_preprocessor.py under Backend/app/ai/ (or appropriate path)
• Functions to:
  • Normalize text (e.g., bios, content descriptions)
  • Extract hashtags, emojis, keyword frequency
  • Calculate engagement rate and structure numerical features
• Optional: Include unit tests and test input mockups
• Utility ready to be imported in upcoming AI modules

📷 Screenshots and Design Ideas

No UI changes. Design idea involves modular, testable functions returning dictionaries or JSON-ready structures. Example:

{
  "bio_clean": "travel lover food reviewer",
  "hashtags": ["#foodie", "#wanderlust"],
  "emoji_count": 3,
  "engagement_rate": 0.067,
  "word_count": 14
}

Record

• I agree to follow this project's Code of Conduct

  I want to work on implementing this feature
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