Personality Prediction System via CV Analysis – Professional AI Recruitment Tool

Personality Prediction System

Project Overview

Personality Prediction System via CV Analysis is an advanced AI-powered web application designed to analyze resumes or candidate-provided text and accurately predict personality traits. This innovative tool empowers recruiters and HR professionals to make informed hiring decisions quickly and effectively.Leveraging Machine Learning and Natural Language Processing (NLP), the system extracts skills, qualifications, and personality-related indicators directly from the provided content. It then generates instant, data-driven personality insights, removing the need for repetitive manual screening.

Project Details

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Technologies Used

• Programming Languages:
  • Python (Backend Logic)
  • HTML, CSS, JavaScript (Frontend Web Interface)
• Frameworks & Libraries:
  • Flask (Web Application Development)
  • Pandas (Data Handling)
  • NLTK (Natural Language Processing)
  • Google Generative AI (AI Interaction for Trait Descriptions)
• Tools for Text Extraction:
  • PyPDF2 (Extract text from PDF resumes)
  • Textract (OCR & Text Extraction)
  • python-docx (Word Document Parsing)

Implementation Details

Resume Processing and Personality Trait Assignment

1. Text Extraction – Reads and extracts candidate resume data from PDF, DOCX, or TXT files.
2. Data Preprocessing – Removes punctuation, tokenizes, and lemmatizes text using NLTK for clean analysis.
3. Skill Matching & Trait Mapping – Matches extracted skills against predefined trait mappings from traits.txt.
4. Personality Assignment – Assigns specific personality attributes to candidates based on skill sets.

Web Interface & User Interaction

• Flask-based Web Application enabling seamless file uploads.
• Dynamic HTML templates (index.html, result.html) to display extracted details and personality predictions.
• Interactive Result Display – Personality traits and analysis summaries are shown instantly after upload.

AI-Driven Personality Description

• Integrates Google Generative AI to produce descriptive, human-like summaries of predicted personality traits.
• Generates tailored outputs that are easy to interpret for HR teams.

Data Management & Historical Records

• Stores all processed candidate details in CSV files (extracted_details.csv).
• Includes features to view, export, or clear historical data from within the web application.

Available Features

• Resume text extraction from PDF, DOCX, and TXT formats.
• Automatic text preprocessing (punctuation removal, tokenization, lemmatization).
• AI-based personality trait assignment from skill sets.
• Google Generative AI integration for descriptive summaries.
• History tracking of all processed candidates in CSV format.
• User-friendly web interface for uploading and viewing results.
• Option to export historical results.

Objective & Use Cases

Objective:
To provide HR departments, recruitment agencies, and employers with a robust AI-powered tool that automates personality assessment based on resumes, improving both efficiency and accuracy in the hiring process.

Use Cases:

• Recruitment Agencies: Quickly screen large volumes of resumes with automated personality analysis.
• Corporate HR Teams: Match candidates’ personalities with company culture and role requirements.
• Hiring Managers: Make data-driven, well-informed selection decisions.

Conclusion

The Personality Prediction System via CV Analysis is a high-performance, AI-powered recruitment assistant combining machine learning, NLP, and modern web technology to automate personality assessments. By integrating advanced AI capabilities and offering a streamlined, user-friendly interface, this system empowers recruiters to make smarter, faster hiring decisions backed by data-driven insights.

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