To be announced
GoRecruit is an AI-based platform for HR, which is designed for analysis of social media and other public data. Data integrity and accuracy are ensured by the blockchain technology. GoRecruit will provide companies with the tool set to significantly reduce the time and the cost of finding a perfect employee and improve the quality of decision-making. Users can’t trick GoRecruit: its algorithm evaluates applicants’ soft skills and professional aptitude rather than their self-presentation abilities at interviews. On the average, the GoRecruit service is 1/40 as expensive as a traditional evaluation procedure.
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|Project industry||Recruitment & Crowdsourcing|
What is GoRecruit
The success of any organization largely depends on the people that work there and an extent to which every employee is effective at their workplace. In the course of a recruitment process, an employer faces numerous challenges, one of them being candidate evaluation. What are the methods to evaluate candidates during the selection process? Small and medium-sized businesses do not usually have a clear understanding of what requirements a candidate should meet, and how to evaluate candidates. For small business owners and executives, the major headache is a lack of time. They are concerned about having a full complement of staff and saving time when hiring employees. In large companies, on the contrary, there are special human resource departments that are engaged in searching, evaluating, and interviewing future employees. But as a company grows, the cost of hiring each employee increases, and the quality of hiring practice deteriorates due to delegation of decision-making to the field.
GoRecruit is an artificial intelligence (AI) system for helping small enterprise executives and employees of personnel services to make HR decisions. The system analyzes data from social media and publicly available sources and uses a blockchain-based architecture for data storage.
Recent research in the field of social media data analysis showed the correlation between the way people represent themselves online and personality assessment results. Donald Kluemper, a professor of management at Northern Illinois University’s College of Business and a pioneer in this area, conducted a study in 2012, according to which data obtained from social networks can be used to assess the likelihood of hiring a person, as well as their future performance. The author and his colleagues state that many personal characteristics are reflected in a social network profile. As a result of his research, significant correlations were discovered between personality traits learned from social media profiles and performance indicators received from company managers.
Decision-making on hiring a candidate depends on a subjective opinion of an employee from an HR department, which, at times, puts their interests above the interests of an organization. Our project is aimed at building objective criteria for selection of candidates for general positions (up to a level of a head of the department), which do not require assessment of highly-specialized professional skills. When making HR decisions and predicting possible outcomes, a decision maker usually faces a complex system of interdependent components (education, experience, psychological profile, social adequacy, etc.) that are to be analyzed. The solution can be found in building an AI system, which will model a natural process of human thinking, aimed at making an objective decision based on the set of available parameters (characteristics).
DetailsToken supply: 8,275,642 GRT
Soft cap: 2,000,000 USD
Hard cap: 12,500,000 USD
LegalBlockchain Platform: Ethereum
Country limitations: China, Singapore, United States, South Korea
Registration country: Russian Federation
Office address: 143026, Skolkovo, Nobel street, 5, MOSCOW, RUSSIA
Token infoTicker: GRT
Token standard: ERC20
Token price in USD: 1 GRT = 3 USD
Accepted currencies: ETH,BTC,USD,EUR
Pre-ICO - 20%
ICO - from 15% to 0%
65% - crowdsale
14% - partners
10% - team
10% - stabilization fund
1% - bounty
55.2% - marketing
32.99% - product development
4.61% - administrative costs
2,4% - legal expenses
4,8% - consultants
Initiation of the research in the field of open-source data analysis for HR decision-making purposes.
Development of a job candidate evaluation algorithm based on data from the VK social network and implementation of the first version of the product.
Product rollout in the first large company (1,000 employees), and carrying out studies to prove the initial hypotheses.
Launch of the first version of product 100 active users.
Launch of the second version of the product with a new GUI.
Development of a Blockchain architecture.
Development of a profession modeler.
Development of a PWA platform.
Mobile application development for Android and iOS.
Increasing the number of publicly available sources for data analysis.
Development of a robust architecture and a load balancing system for computational application instances for the purpose of project scaling.
Localization of the product by translating it into 5 most spoken languages in the world.
Global market expansion.
Conducting additional research regarding applicant's social media profile parameters and other data from public sources that may affect HR decision-making.
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