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AI-Powered PDF CV Classification Tool – Python, ML/DL & HR Analysis

Added by
  • Private Person
Budget
€50

Project Description

We are seeking a skilled Python developer with experience in AI, Machine Learning, and NLP to build an intelligent CV classification tool. The system will process PDF resumes and automatically categorize them based on contact information and relevance to a given job title, helping streamline recruitment workflows.

Core Functionality:

Input: Folder of PDF CVs + target job title
Output: Structured results folder with 5 categories:CVs with email & phone number
CVs with email only
CVs with phone number only
CVs with no contact information
CVs not matching the job title (low relevance)
Extract contact details using NLP techniques
Evaluate CV relevance using AI-based matching

Requirements:

Strong Python development skills
Experience with PDF processing tools (e.g., PyMuPDF, pdfplumber)
Knowledge of NLP and ML/DL for text classification
Ability to write clean, efficient, and scalable code

Deliverables:

Working script or lightweight application
Clear code structure and documentation

Nice to Have:

Experience with AI-based matching or HR/recruitment tools
Project Goal:
Automate CV screening and prioritization to improve recruitment efficiency.

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