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- Acquire Identity markers as inputs
- Acquire identity datasets like passport, drivers license, social profiles, phone numbers, address, jobs, friends etc..
- Tokenise identity data
- Use NLP, Tokenisation, Topic Modelling
- NER for phone numbers, DoB, name, identity markers.
- Graph address, jobs, friends
- Score identity for diversity in data (i.e. fraud)
- Score diversity in address
- Score diversity in jobs
- Score diversity in friends
- Flag for Identity fraud if exceeds threshold
- Propose who this person actually is
- Use Centrality in identity markers.
- Add Recognition capabilities
- Image Recognition
- Voice Recognition