Objective

A top HRTech company wanted to transform its hiring process by automating its most critical hiring processes. Its main objective was to minimize time-to-hire and enhance the candidate experience. With automation, the company wanted to automate hiring, improve accuracy, and remove inefficiencies in candidate selection.

Technologies

Blockchain, Java, AWS, AngularJS, SQL, Docker

Country

Switzerland

Project Attributes

Type

AI-based HR Recruitment Portal with Credential Verification

Engagement Model

Dedicated Team Engagement

Duration

8 months

App Users

Recruiters, HR managers, and candidates

Challenges

Challenges

    • Data Overload & Redundant Screening Process: The client’s HR team was overwhelmed with a large cascade of candidate resumes. Their system did not have intelligent screening capabilities, and recruiters had to sift through redundant, irrelevant resumes. This clogged the hiring pipeline heavily, slowing down the process.
    • Absence of Fraud-Resistant Credential Verification: Recruiters were facing high resume fraud with fake work experience and degree claims. The manual verification process was time-consuming, error-prone, and incapable of providing secure authentication.
    • Rigid Job Matching & Inadequate Personalization: The client’s recruitment platform was based on rigid keyword-based matching, which did not take into account a candidate’s actual skills, career aspirations, and industry trends. This led to poor recommendations, high mismatches, and disengaged candidates.
    • Recruiter-Centric Approach Without Candidate Engagement: The platform was recruiter-centric, with a one-way experience. Candidates did not have access to real-time updates, transparent hiring insights, and AI-driven career guidance, leaving them lost in the process.
    • Scaling Limitations & Slower Decision-Making: The recruitment process was not designed for scalable efficiency. Without real-time analytics, the HR managers were playing catch-up to find hiring gaps, optimize job postings, and track recruitment performance.
Solutions

Solutions

    • AI-Powered Resume Intelligence: Adorebits created an autonomous, self-learning resume screening system based on artificial intelligence. It utilized context-aware natural language processing to determine job relevance, filter out irrelevant applications, and shortlist candidates against qualifications, experience, and fit with company culture.
    • Blockchain-Based Degree and Certificate Verification: An authentication system was created that utilized Blockchain technology to safely authenticate degrees, certifications, and professional experience. It reduced fraud risks, made the hiring process simpler, and increased employers’ confidence.
    • SDynamic AI Matchmaking with Deep Learning: Unlike traditional keyword matching approaches, Adorebits created a deep learning model based on artificial intelligence that examined skills, job interests, and industry trends, thus giving highly relevant job recommendations to candidates and recruiters alike.
    • AI-Powered Candidate Engagement Suite: A candidate-centric approach was utilized that entailed real-time notifications, AI-powered chatbots for immediate questions, and predictive career advice to keep candidates informed and actively engaged throughout the hiring process.
    • Real-Time Data Analytics for Intelligent Hiring Decisions: A data-driven dashboard was utilized to allow recruiters to track hiring trends, optimize job postings, and hasten hiring decisions based on insights obtained through artificial intelligence.

Results:

  • 40% Increased Candidate Matching Accuracy: Recruiters got highly relevant candidate profiles, reducing mismatches and enhancing hiring accuracy.
  • 35% Reduction in Time-to-Hire: Resume screening, credential validation, and AI matching greatly speeded up the recruitment process.
  • 25% Enhanced Candidate Experience: Quicker responses, real-time alerts, and AI-driven job recommendations enhanced candidate satisfaction.
  • 50% More Streamlined HR Operations: Recruiters moved away from mundane tasks to strategic hiring, enhancing team productivity and decision-making speed.

Conclusion:

In the case, Adorebits delivered an all-inclusive AI-driven solution that met the client’s recruitment goals and placed them at the top of the leaderboard in terms of HRTech innovation by directly integrating Blockchain for secure verification of credentials.

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