Abstract: The technology relates to a system and a method for assessing and negotiating compensation of a human resource (candidate). Upon selection of a candidate(s), the method comprises of receiving compensation information of the candidate(s). The compensation assessment and negotiation system generates a salary proposal based on at least one of the compensation data, an assessment score of the candidate, a location, a minimum wage, a threshold salary and a recruitment policy. The compensation assessment and negotiation system also allows the candidate to negotiate the salary proposal by submitting a second salary proposal to the system. The compensation assessment and negotiation system thereafter generates a revised salary proposal in response to the second salary proposal. The compensation assessment and negotiation system rolls an offer to the candidate upon receiving a positive response on the salary proposal.

Abstract: The present invention relates to a system and a method for conducting life-cycle engagement of a candidate without human intervention on device engagement architecture. The implementation involves selecting initially, from a plurality of potential candidates based on any or a combination of pre-screening based on a set of pre-defined requirement rules and assessment with respect to multiple engagement criteria. An artificial intelligence (AI) engine associated with the system, evaluates the candidate based on responses to one or more responsive video frames generated by the AI engine. Based on a combination of the pre-screening, the assessment, and the AI engine based evaluation, the system generates a score for the at least one candidate, wherein the candidate is finally engaged based on the generated score.

Abstract: The technology relates to a system and a method for assessing and negotiating compensation of a human resource (candidate). Upon selection of a candidate(s), the method comprises of receiving compensation information of the candidate(s). The compensation assessment and negotiation system generates a salary proposal based on at least one of the compensation data, an assessment score of the candidate, a location, a minimum wage, a threshold salary and a recruitment policy. The compensation assessment and negotiation system also allows the candidate to negotiate the salary proposal by submitting a second salary proposal to the system. The compensation assessment and negotiation system thereafter generates a revised salary proposal in response to the second salary proposal. The compensation assessment and negotiation system rolls an offer to the candidate upon receiving a positive response on the salary proposal.

Abstract: The present disclosure relates to the field of recruitment systems. The system comprises a memory, an input module, a talent reader, a repository, a talent pool creation module, and a pre-offer module. The candidates provide values corresponding to tags in a pre-defined resume format to generate a resume, read by the talent reader to extract the tag values and store in candidate repository. An assessment test for the candidate based on the pre-determined questionnaires and tag values is created, and responses of the test is assessed to generate a score for filtration of candidates. A recruiter sends a set of desired tag values which are extracted and mapped with the stored tag values to generate a mapped set of candidates for sending pre-offer letters. The system create a talent pool and reduces turnaround time of the selection process.

Abstract: The present disclosure envisages an automated system for onboarding. The system comprising a database to store details of existing employees, a vacancy repository to store details related to vacant positions within an organization, a recruitment module to receive candidate application details corresponding to a plurality of candidates, a test module to provide test case to candidates, an assessment module to provide assessment score, a selection module to select candidate based on the assessment score, a pre-boarding module to identify and receive missing details of the selected candidates to obtain complete details, a verifier module to verify the complete details of the selected candidates to obtain verified details, an onboarding module to receive verified details and facilitate onboarding of the selected candidates.