🧩 Project Overview:
This project focused on building an AI-powered HR platform to transform and simplify the job application and hiring process. The system leverages artificial intelligence to streamline resume screening, improve job-candidate matching, and enhance overall user experience for both job seekers and employers.
🎯 Objectives:
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Build an intelligent, scalable HR platform for job seekers and employers.
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Automate resume screening and candidate ranking using AI.
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Match job seekers with relevant opportunities using ML algorithms.
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Provide personalized feedback and recommendations.
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Reduce time-to-hire and enhance the quality of hires.
🔍 Challenges:
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Designing and training AI models to assess resumes based on varied job descriptions.
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Ensuring fair and unbiased candidate screening.
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Building a dual-interface platform for both job seekers and employers.
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Delivering real-time performance and matching results at scale.
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Integrating AI feedback into the user experience without complexity.
🛠️ Our Approach:
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Requirement Gathering: Collaborated with HR professionals to understand pain points in hiring and job search.
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AI Integration: Trained machine learning models on job data and resumes to assess skills, experience, and relevance.
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Modular Development: Created separate interfaces for employers and job seekers with role-based access.
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Feedback Engine: Built a feedback system that gives real-time suggestions and improvements for candidates.
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Testing & Optimization: Conducted bias testing and model performance tuning to ensure fairness and accuracy.
💡 Key Features Implemented:
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AI Resume Screening: Automatically ranks resumes based on job requirements.
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Smart Matching Engine: Matches candidates with jobs based on skills, experience, preferences, and cultural fit.
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Candidate Dashboard: Real-time status updates, feedback, and personalized suggestions for job seekers.
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Employer Tools: Advanced filters, resume insights, and automated shortlisting features.
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Email Notifications: Automated updates for interviews, job offers, and rejection feedback.
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Data-Driven Insights: Analytics dashboards for recruiters to track application funnel and candidate quality.
🚀 Outcome:
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70% reduction in time spent on initial resume screening.
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40% increase in candidate-employer matches with higher relevance.
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Better candidate experience through real-time feedback and guidance.
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Improved hiring decisions using AI-backed insights and analytics.
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Platform ready for scale across industries and geographies.
🔧 Technologies Used:
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MERN Stack: MongoDB, Express.js, React.js, Node.js
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OpenAI API for NLP-based resume evaluation
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Machine Learning Models: Custom-trained matching algorithms
🏢 Industry / Client:
HR Tech / Recruitment SaaS
Clients: Hrgenie, WorkRadius