Patent attributes
Methods and systems are provided for skill-based/JHE credential verification using robotic contact and analysis, social media search, and/or peer affirmation within a blockchain-based database that holds verified trustor records. In one embodiment, a credential vault system (CVS) identifies a set of skill-based canonical JHEs for a trustor based on a description of job history and experience (JHE) of the trustor using a recurrent neural network (RNN) model with natural language process/natural language understanding (NLP/NLU), wherein a trustor record in the CVS is uniquely identified by a trustor identification in a blockchain-based database of the CVS, collects one or more corroborations for each canonical JHE by the CVS, evaluates each canonical JHE based on the collected one or more corroborations using a deep learning model to verify the corresponding canonical JHE, and appends each verified canonical JHE to the trustor record in a blockchain-based database of the CVS.
