Machine learning assisted workflow planner and job evaluator with learning and micro accreditation pathways

A system for generating a personalized job workflow, provisioned with machine coordinated learning and skilling pathways discerned by a combination of a machine learning modules (ML) and human intervention, comprising:

• a job scheduler and correction notification module that collects a region or location data pertinent to a job workflow planning requirements based on a data mining and said machine learning (ML) process, wherein said job scheduler and correction notification module surveys for active jobs setup by a job scheduler, wherein said job scheduler and correction notification module searching for an alarm notification that signify corrections of one or more components of said region or location data, wherein said job scheduler and correction notification module collects, filters and priorities job notifications based on predefined rules and displays said job notification results in a job/alarms notification tab that is accessible by a user;
• a job and candidate selection module that provides a list of job candidates with mentors based on proficiency evaluated for each candidates by said system, wherein said list of job candidates are provided with customized job packs to meet their individual requirements based on their defined knowledge and skillset, wherein said job or candidate selection module receives and notifies one or more digital communications from one or more users about a job and candidate matching process.
• a job acceptance and rejection administration module prepares a job proposal package for a candidate to accept or reject, wherein said job acceptance and rejection administration module collects one or more information from said candidate on submission of both rejection and acceptance, wherein said job acceptance and rejection administration module adjust said candidate profile through said ML processes based on said information obtained from said candidate;
• a poll user location module matches a location of said candidate with one or more tasks that should be performed at said location, wherein said poll user location module identifies said accurate location of said candidate and sense of a space using Simultaneous Localization and Mapping (SLAM) and Visual Inertia Odometry (VIO) along with pinpointing critical equipment to which tasks will be attached, wherein chaining of said job pack, that is which task and information to be appear first is scheduled based on at least one of location detection, object recognition and user input;
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• a cohort support module enables communication between said candidate who is novice and his/her mentor, wherein said cohort support module provides expert opinion on performance of said candidate on post job completion or said one or more tasks performed by said candidate for a specific job or said location.