
Smart Resume Analyzer & Job Match System
Project Overview:
The Smart Resume Analyzer & Job Match System** is an intelligent web-based application that analyzes a candidate’s resume using AI/NLP techniques and matches it against available job listings. It helps HR teams and job seekers by providing an automatic score or match percentage between a resume and a job description.
This system uses natural language processing, machine learning, and semantic matching to understand the resume content and rank it based on how well it fits a job post.
Key Features:
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Upload and parse resume (PDF/DOC)
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Extracted details: skills, experience, education, etc.
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AI-based job-resume match scoring
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Dashboard for job seekers and HR recruiters
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Job recommendations based on candidate profile
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Admin can add, edit, or remove job postings
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Downloadable report for each resume-job analysis
Technology Stack:
Backend (choose one):
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Node.js + MongoDB
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PHP + MySQL
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Java (Spring Boot) + PostgreSQL
Frontend:
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HTML, CSS, Bootstrap
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JavaScript (jQuery, Chart.js)
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AJAX for dynamic updates
AI/NLP Engine (Python):
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Libraries: SpaCy, NLTK, Scikit-learn, Resume-Parser, Gensim
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ML Models: TF-IDF + Cosine Similarity, or BERT for semantic match