PATENT CLAIM ANALYSIS

Application Number: 16051989
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2018-11
Patent Classification: ["705", "007420"]

Abstract:
A method for providing incentive to mentors of at-risk mentees is described. The method includes the steps of determining an at-risk mentee's prospects in the absence of mentoring, and then tracking behavior and progress in a period of time, determining the mentee's achievement of important milestones, avoidance of costs to society, and/or income and income tax payments during the same period of time, and calculating a financial incentive to the mentee's mentor, wherein the amount of the financial incentive is calculated based on the mentee's behavior, achievement of important milestones, avoidance of costs to society, and/or income tax payments during the period of time.

Claim (Index 15):
A system for providing mentoring service to at-risk people, comprising:\n one or more computer processors; and one or more tangible computer readable media accessible by the one or more computer processors, wherein the one or more tangible computer readable media comprise instructions that, when executed by the one or more processors, cause the one or more processors to perform: receiving, via a user interface of an application executing on the one or more computer processors, a risk profile concerning an at-risk subject, wherein the risk profile comprises a plurality of risk factors and their expected lifetime costs to society; assigning, via the one or more computer processors, a risk point value to each of the plurality of risk factors based on severity level of the subject's risk factors and their expected lifetime cost to society and a risk point matrix stored on a memory device accessible by the one or more computer processors, wherein the risk point matrix is determined by evaluating a large scale data base reflecting risks of other subjects compared to their later successes or failures and expected lifetime costs to society; determining, via the one or more computer processors, a total risk point value of the at-risk subject via the one or more computer processors; accepting the at-risk subject as a mentee candidate, if the total risk point value satisfies a pre-determined threshold value; searching, via the one or more computer processors, a mentor candidate database comprising a plurality of mentor profiles, wherein each mentor profile comprises personal data, mentoring experience and a plurality of mentor matching tags; assigning, via the one or more computer processors, at least one mentor candidate to the mentee candidate, wherein the at least one mentor candidate is selected based on a match between the mentee matching tags and the mentor matching tags, where in the match is performed using a matching algorithm; submitting the at least one assigned mentor candidate to an oversight board for approval; receiving, via the user interface of the application, the at-risk subject's progress report after the establishment of a mentor-mentee relationship; comparing, via the one or more computer processors, the at-risk subject's progress to the progress achieved by other at-risk individuals and their success odds or ex-convict progress and success odds stored on a memory device accessible by the one or more computer processors; obtaining, via the one or more computer processors, the at-risk subject's income tax records from relevant governmental agencies; determining, via the one or more computer processors, a financial incentive to the mentor based on result of the comparing step and the at-risk subject's income tax records and estimated lifetime costs to society; obtaining approval for the amount of financial incentive from the oversight board; and transmitting a notice to the relevant governmental agency about the approved amount.

Metadata:
- Claim Count in Document: 47.0
- Percentile: 96.0
- Lexical Diversity: 2.2037
- Patent Class: 705.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15691253', '15623206', '15373869', '15337799', '15266384']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1890321369551932
- 35 USC 102 Novelty (BERT): 0.6726792836993764
- Combined Prediction Score: 0.2373968516296116
- Mean Citation Score: 677.91979
- Max Citation Score: 728.31036
- Similarity Product: 646.0009752896475

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 0

Dataset: test