The site is very similar to other job boards and job seeking sites with the addition of secondary “soft” skills and interests which are then filtered through AI and human supervision to add means of distinguishing one candidate from another. This data would be refined over time with AI analysis of thousands of candidates and placements.

For example over time data could show that entry level candidates for a job in a law office mailroom who had been on a high school debate team tended to perform better once placed there, or perhaps candidates who played high school football did well as a construction worker. As the recruiter created the job listing the AI would recommend traits that had proven successful on previous listings allowing the human hirer to opt in or out of the recommendations.

The AI would also scour resumes looking for common traits and interests from successful placements to better feed the data. The complete results would be boiled down to a “Match Score”; a percentage of match quality to better allow the hirer to sort and approach applicants that they wish to interview. The system has a functional contact option allowing the hirer to sort the top 10 scores and automatically invite them for an interview. I those did not pass muster they could then invite the next 10 scores. All the while the AI would be processing the success/failure rates to best adjust the algorithm and in time the results would be better and better.

Of course should this project be adopted the data and computational resources would be considerable. A lot of the innitial data would have to be based on logical assumptions rather than actual proven facts and to do it right a lot of research would have to be done with recruiters and hiring managers as to their process and what they look at in an entry level employee. However given enough time and resources this could turn in to the tool that all hirers of entry level employees need.