HagbroAI – Recruitment Automation System
Overview
HagbroAI is an intelligent recruitment automation system developed by Navi Digital Services Limited to transform how organizations attract, screen, and hire top talent. Designed as a flagship AI-driven solution, HagbroAI merges human expertise with artificial intelligence to simplify hiring, reduce recruitment time, and improve candidate quality.
Project Objective
To build a scalable and intelligent recruitment platform that automates repetitive HR tasks—such as resume screening, candidate shortlisting, and interview scheduling—while enabling data-driven decision-making in talent acquisition.
- Services: Recruitment automation system
- Client: Navi Software
- Location: New York,NY,USA
- Completed Date: 20-07-2025
Our Approach
Navi Solutions adopted a strategic and modular development approach that integrated:
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AI-Powered Screening – Leveraging natural language processing (NLP) to analyze resumes and match them with job descriptions in real time.
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Smart Candidate Scoring – Implementing a weighted scoring algorithm to rank applicants based on skills, experience, and cultural fit.
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Workflow Automation – Automating communication between HR teams and applicants through intelligent notifications and scheduling tools.
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Data Analytics Dashboard – Providing insights on recruitment performance, diversity metrics, and hiring timelines.
Key Features
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Automated resume parsing and job matching.
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AI-driven shortlisting and ranking.
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Integrated interview scheduling.
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Real-time candidate tracking dashboard.
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Analytics and reporting on recruitment efficiency.
Impact & Results
Since deployment, HagbroAI has:
- Reduced average hiring time by over 50%.
- Improved candidate quality and retention rates.
- Enhanced HR productivity through automation.
- Provided executives with actionable recruitment insights.
The system continues to evolve, integrating new machine learning models and predictive hiring analytics to ensure smarter and fairer recruitment outcomes.
Technologies Used
Backend: Python (Flask/Django), Node.js
Frontend: React.js / Next.js
AI Stack: TensorFlow, scikit-learn, NLP models
Database: PostgreSQL
Hosting: AWS Cloud
