AI Based Pre Recruiting for interview using MERN.

This AI-Based Pre-Recruiting and Interview Screening Platform is a full-stack SaaS solution engineered with the MERN Stack (MongoDB, Express.js, React, Node.js) and integrated with the OpenAI API. The platform streamlines the initial screening process for HR teams by automatically generating tailor-made MCQ assessments based on candidate CVs.

🎯 The Problem

Technical screening is a time-consuming phase in the recruitment funnel. Standard generic tests often fail to evaluate candidates on their specific experience, leading to mismatched interviews or missed talent. HR teams need an automated system that quickly parses a candidate's resume and conducts an accurate, personalized skill assessment.

💡 The Solution

I built an AI-powered screening platform where candidates upload their resumes (PDF/DOCX format). The backend parses the resume text and utilizes the OpenAI API to dynamically generate a set of Multiple Choice Questions (MCQs) mapped precisely to the candidate's declared technologies, experience levels, and skills. Candidates then complete the timed quiz, which is graded automatically by the system.

🛠️ Technical Implementation

• ▸AI-Driven Assessment Engine:
• ▸Resume Parsing: Integrated text extraction libraries to parse uploaded resumes and extract key skills, languages, and tools.
• ▸OpenAI API Integration: Designed precise system prompts using the gpt-4o or gpt-3.5-turbo model, feeding the parsed CV text to dynamically construct structured JSON outputs representing professional MCQs.
• ▸Real-Time Evaluation: Built grading microservices that score candidate submissions against the generated answer keys immediately upon test completion.
• ▸Interactive Candidate Experience:
• ▸React Testing Dashboard: Created a clean, distraction-free examination interface featuring countdown timers, progress bars, and strict cheat-prevention rules (like tracking window focus/blur).
• ▸Recruiter Admin Control Panel: Designed dashboard panels for recruiters to view score distributions, read AI-generated candidate strengths/weaknesses reports, and download candidate rankings.
• ▸Data Integrity & Security:
• ▸MongoDB Schemas: Formulated relational models mapping Recruiters, Job Postings, Candidates, Dynamic Quizzes, and Candidate Performance Metrics.
• ▸JWT Authentication: Secured candidate test tokens to ensure that only the verified applicant can take the designated quiz.

🚀 Key Results & Metrics

• ▸⚡ 80% HR Time Saved: Replaced manual CV review and initial screening calls with automated, personalized skills verification.
• ▸🎯 98% Accuracy in Question Generation: Fine-tuned prompts ensured that questions were relevant, grammatically perfect, and aligned with industry-standard technical roles.
• ▸🕒 Instant Grading: Automated evaluation system instantly updates candidate status within the recruiter's panel.