Smart JobX

  • Tech Stack: React, Vue, TypeScript, Python, Node.js, MongoDB, Tailwind CSS, ShadCN
  • GitHub URL: Project Link

Aim

The primary goal of Smart JobX is to create an AI-powered job search and recruitment platform that enhances job matching, shortlisting, and hiring efficiency. It integrates skill-gap analysis, AI-driven resume screening, and automated assessment scheduling to connect job seekers with the right opportunities.

Modules

  1. Job Seeker Module: Allows users to analyze skill gaps, upload resumes, receive AI-driven job recommendations, and participate in mock assessments.
  2. Company Professional Module: Enables professionals to post job openings, manage assessments, and send alerts to candidates.
  3. AI-Driven Resume Analysis: Extracts key details like skills, experience, and education to ensure precise job matching.
  4. Dynamic Skill-Gap Analysis: Identifies skill gaps in candidate profiles and suggests relevant courses for skill enhancement.
  5. Referral Unlocking System: Eligible candidates can request referrals from company professionals to improve hiring chances.
  6. Anti-Cheating Measures: Ensures that candidates do not engage in fake applications or misrepresentations.
  7. Automated Assessment Scheduling: Schedules dynamic skill assessments post-shortlisting and integrates anti-cheating mechanisms.

Conclusion

Smart JobX transforms job hunting and recruitment through AI-driven automation. By integrating resume parsing, candidate shortlisting, skill analysis, and anti-cheating measures, the platform enhances job market efficiency and ensures the best candidate-job fit.