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Co-Organisers:
I-RICE'26
4th International Research, Innovation, Creativity & Engineering Project Competition 2026
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Project ID:
BALM04301
SyncHubs
Project Title:
Category:
Business and Management
Inventors:
Yang Chee Beng, Soh Yong En, Shaun Tay Kai Wen, Lynn Goh Wei Shan
Institution/Company:
Raffles University
Invention Description/ Abstract:
Abstract
SyncHubs represents a paradigm shift in human resource management through the integration of artificial intelligence and comprehensive HR technology solutions. This all in one AI-powered platform fundamentally transforms how organizations manage employee engagement, talent acquisition, and organizational communication, addressing critical challenges in modern workforce management.
Core Innovation
The primary innovation of SyncHubs lies in its unified approach to HR operations powered by artificial intelligence. Unlike traditional fragmented HR systems that require multiple platforms and switching between tools, SyncHubs consolidates essential HR functions into a single, intelligent ecosystem. The platform's AI capabilities extend across three critical domains: recruitment, communication, and data management.
Alignment with Sustainable Development Goals
SyncHubs directly contributes to three United Nations Sustainable Development Goals. By supporting efficient HR practices and workplace management (SDG 8), the platform helps organizations create better working conditions. Through its adoption of AI and digital automation (SDG 9), SyncHubs promotes innovation in HR operations. Most significantly, the AI driven candidate screening and inclusive hiring features promote equitable recruitment processes and fair employee treatment (SDG 10).
Invention Technical Description
http://System Overview
SyncHubs is an AI-powered HR management platform leveraging Deepseek LLM API for intelligent candidate screening and automated HR decision support. Built on Laravel 9.0 PHP framework using MVC architecture with MySQL database, the system integrates advanced machine learning to streamline recruitment, enhance communication, and optimize workforce management.
Technology Stack
Backend: Laravel 9.0 with PHP 8.1+, implementing strict MVC pattern with RESTful APIs using JSON responses. AI Integration: Deepseek API provides context-aware text generation through Bearer token authentication with character-based token billing. Database: MySQL 8.0+ with InnoDB engine, 15+ normalized tables with foreign key relationships, indexed for optimal query performance. Frontend: Bootstrap 5 responsive design with Blade templating, AJAX real-time updates, and Chart.js visualization.
MVC Architecture
Models use Eloquent ORM managing Candidate, JobPosting, CandidateChat, User, Attendance, and Leave entities. Controllers include PublicRecruiterController for visitor applications, CandidateController for HR management with AI summaries, JobPostingController for position management, and DashboardController for analytics. Views employ responsive Blade templates with real time AJAX interactions and interactive dashboards.
AI-Enhanced Features
Intelligent Candidate Screening: Deepseek analyzes sequential applicant responses, extracting structured data and calculating match scores (0-100) based on education, experience, skills, salary compatibility, and motivation. AI Summary Generation: Batch analyzes candidates using extraction for precise ID mapping, enabling one click bulk shortlisting. The system eliminates subjective bias and reduces HR review time through data driven evaluation.
Demostration/ Presentation Video
Poster/ Broucher/ Invention Photo
Additional Documents
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