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Divorce Prediction using Capsule Network and Hypernetwork

This repository dives deep into how we use Capsule Neural Networks and Hypernetworks to predict the likelihood of divorce based on numerous parameters, specifically in the Indian context.

Parameters considered

  1. Gender
  2. Age Gap
  3. Graduation Status
  4. Current Occupation
  5. Spouse Occupation Field
  6. Spouse Graduation Status
  7. Occupation Status
  8. Spouse Occupation Status
  9. Social Status Preference
  10. Marriage Preference
  11. Financial Independence
  12. Spouse Financial Independence
  13. Mental Health Status
  14. Spouse Mental Health Preference
  15. Consent for Children
  16. Height Difference (In Inches)
  17. Approximate Income (In Lakhs)
  18. Spouse Income Preference (In Lakhs)
  19. Relation with In-Laws
  20. Pre-Marital Relation Status
  21. Spouse Pre-Marital Relation Status
  22. Time Together Before Marriage

System Architecture

System Architecture

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

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Prediction of likelihood of divorce using deep learning

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