SELECTRA

Project Overview

SELECTRA is an AI-powered resume screening application designed to streamline the hiring process for HR teams. It uses advanced natural language processing to analyze resumes against job requirements, ranking candidates based on their suitability.

Why We Built SELECTRA

The traditional resume screening process is time-consuming and often subjective. SELECTRA addresses these challenges by:

• Automating the initial screening of hundreds of resumes

• Providing objective, consistent evaluation based on job requirements

• Identifying top candidates with quantifiable match scores

• Generating targeted interview questions based on candidate profiles

• Saving HR teams countless hours in the hiring process

Technical Pipeline

The SELECTRA application follows a structured pipeline to process resumes and generate insights:

1 Resume Upload

Users upload resumes in various formats (PDF, DOCX, TXT) through a drag-and-drop interface or file browser. The application supports batch processing of multiple resumes simultaneously.

2 Text Extraction

The application extracts raw text from uploaded documents using format-specific libraries:

• PDF files: Processed using PDF.js, a Mozilla-developed library that parses PDF documents in the browser without server-side dependencies.

• DOCX files: Processed using Mammoth.js, which converts DOCX documents to HTML and then extracts the text content.

• TXT files: Read directly using the FileReader API.

3 AI Analysis with Gemini

The extracted text is sent to Google's Gemini API with a carefully crafted prompt that includes:

• The job requirements entered by the HR team

• Instructions for analyzing the resume content

• A specific response format for consistent parsing

The API returns structured data including candidate name (extracted from resume), match score (0-100), relevant experience, key skills, and education.

4 Results Processing

The application processes the API response to:

• Sort candidates by match score (descending)

• Calculate aggregate metrics (average score, top candidates, etc.)

• Generate visual indicators (score bars, color-coded ratings)

• Prepare data for display in the results table

5 Interview Questions Generation

For the top candidates, SELECTRA generates targeted interview questions by:

• Sending the job requirements and candidate profiles to Gemini

• Requesting specific, relevant questions categorized by type (technical, behavioral, etc.)

• Formatting the responses for clear display in the UI

6 Export Functionality

HR teams can export results in multiple formats:

• PDF Export: Uses jsPDF to generate professional reports with candidate rankings and interview questions

• Excel Export: Uses SheetJS to create spreadsheet-ready data for further analysis

• jsPDF

Evaluation Methodology

SELECTRA evaluates candidates based on several factors extracted from their resumes:

Match Score Calculation

The AI evaluates each resume against the job requirements and assigns a score (0-100) based on:

• Relevant Experience: Years and quality of experience matching the job requirements

• Skills Match: Presence and proficiency of required skills

• Education: Relevance and level of education

• Keyword Analysis: Presence of important keywords from the job description

Score Categories

• 90-100% Excellent match - Strong in all required areas

• 80-89% Very good match - Meets most requirements

• 70-79% Good match - Meets many requirements

• 60-69% Fair match - Meets some requirements

• Below 60% Weak match - Lacks key requirements

Interview Questions Generation

• Questions are tailored based on:

• Gaps between candidate qualifications and job requirements

• Areas where more information is needed

• Specific skills or experiences mentioned in the resume

• Common interview questions for the role type