MatchCV: AI Resume Matching Platform

Overview

MatchCV is an AI-powered recruitment platform that helps recruiters upload resumes, analyze candidate profiles, and rank the most relevant candidates using semantic search instead of traditional keyword matching.

What Users Can Do

• Upload Resumes: Upload multiple resumes in PDF or DOCX format.
• Automatic Parsing: Extract emails, phone numbers, skills, and experience.
• AI Summaries: Generate concise resume summaries using AI.
• Semantic Search: Search candidates based on meaning, not just keywords.
• Candidate Ranking: Rank resumes using AI embeddings and similarity scoring.
• Dashboard View: View, filter, and manage candidate profiles from a clean UI.

Why I Built This

Recruiters often struggle with:

• Manually screening hundreds of resumes.
• Missing good candidates due to keyword-based filtering.
• Unstructured and inconsistent resume formats.
• Time-consuming shortlisting processes.

I built MatchCV to automate resume screening using AI-driven semantic understanding, making hiring faster, fairer, and more accurate.

Tech Stack

• React.js
• TypeScript
• Tailwind CSS
• Node.js
• Express.js
• MongoDB
• JWT Authentication
• Google Gemini API
• AI Embeddings & Similarity Search

Architecture Highlights

• Resume ingestion pipeline with PDF/DOCX extraction.
• AI-generated resume summaries using Gemini API.
• Embedding-based semantic matching.
• Ranking algorithm using cosine similarity + keyword scoring.
• Secure APIs with JWT-based authentication.
• Fully responsive recruiter dashboard.

After Launch & Impact

• Built an end-to-end AI recruitment system.
• Reduced reliance on keyword-based resume filtering.
• Gained hands-on experience with semantic search.
• Improved understanding of AI ranking and scoring systems.
• Strengthened full-stack AI product design skills.

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