Stephanie will be developed with human level language understanding and reasoning skills. When Stephanie is contacted by job seekers, human resources, or hiring managers, her first systems will classify the message. Understand what is the message about then take the appropriate action according to her HR knowledge. Either write a reply or contact the other person regarding the message. Stephanie will not be built with hand coded rules, Stephanie is being built with generative models and trained with language understanding and HR skills. Stephanie’s Artificial Brain will be trained with the knowledge of Human resources. The system uses this knowledge when it tries to comprehend and correspond with job seekers, human resources, and hiring managers. In addition, when Stephanie is screening and qualifying candidates.
Stephanie Matches candidates with jobs descriptions with much more than keyword search. Stephanie does this by knowing the field, candidates qualifications, years of experiences, personality, preference cultural fit and so on. Matching API uses Stephanie’s HR knowledge when screening and qualifying candidates. Stephanie will show detail reports why there is match with candidates and hiring managers, when hiring mangers agree to meet with the candidates Stephanie will arrange the meetings.
Stephanie schedule the time confirm the interview. follow up with the interviewee and the interviewer make sure the candidates are attending the interview.
Stephanie takes feedback from the job seekers and hiring manager right after the interview. This information helps Stephanie matching candidates and the companies in the future.
Stephanie is a learning system instead of rule based system. The system is designed to have a human like language, understanding, reasoning, memory, knowledge representations, and learning features. The technical design of this framework follows the blueprint of the cerebral cortex of the human brain: which are the four lobes (temporal, occipital, frontal, parietal), hippocampus and other area of the brain features to build this system applying cognitive and neuroscience methodologies. The system is being developed with diverse sets of technologies: deep neural networks, reinforcement learning, transfer learning, active learning, natural language processing, statistical machine learning, generative adversarial network [GAN], probabilistic programming, and Bayesian statistics.
Stephanie is designed to work with millions of job seekers, HR departments and hiring managers simultaneously. The platform is develop as a distributed system using big data technologies. The Stephanie Brain is being develop in Tensorflow and other sets of deep neural networks and reinforcement learning technology. In designing this technology it represents modules and APIs based with consistency. This design would allow us to further improve this technology.
We have been experimenting in Stephanie's brain features for the last two years. Now is the time for implementation. We are looking at another 18 to 20 months of progress, relying on the resources we have. We also plan to release an Alpha version for testing purposes only.