Khdem Daba
AI-Powered Job Portal Platform connecting job seekers with employers through intelligent resume parsing
Overview
Built a comprehensive full-stack job marketplace connecting job seekers with employers through intelligent resume parsing and streamlined application management. The platform features three distinct user roles: job seekers, employers, and administrators, automating tedious parts of job applications through AI-powered CV analysis.
Challenge
Creating a seamless job marketplace that could handle the complexities of multiple user types while automating resume parsing and maintaining a user-friendly experience. The main challenges included extracting structured data from varied PDF formats, managing three different user roles with distinct permissions, and supporting full RTL layout for Arabic language.
Solution
Built a robust architecture using Laravel with Inertia.js and React for the main application, complemented by a Go Gin microservice for handling AI-powered resume parsing. This hybrid approach combines Laravel's powerful backend capabilities with Go's efficient processing for CV analysis and data extraction.
Key Features
AI Resume Parsing
Automatic extraction of personal information, work experience, education, and skills from uploaded PDF CVs
Advanced Job Search
Filter jobs by location, job type, and experience level with real-time application status tracking
Employer Dashboard
Comprehensive dashboard for managing job postings and reviewing AI-analyzed candidate resumes
Multi-Role System
Three distinct user roles with tailored experiences: job seekers, employers, and administrators
Application Management
Track applications with status updates and automated email notifications throughout the hiring process
Analytics Dashboard
Admin panel with key metrics including user registrations, active jobs, and application volume
Technology Stack
Technical Highlights
Implemented AI-powered PDF text extraction and intelligent resume parsing
Built three distinct user role systems with granular permissions and workflows
Developed comprehensive employer dashboard with applicant management and CV analysis
Created mobile-responsive interface with full Arabic language support and RTL layout
Implemented automated email notification system for registration, applications, and status updates
Built admin panel for user management, content moderation, and platform analytics
Designed scalable architecture with Go microservice for efficient resume processing
Integrated structured interview and testing modules for advanced candidate evaluation
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