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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>AI CV Screener</title>
<link rel="preconnect" href="https://fonts.googleapis.com">
<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
<link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&display=swap" rel="stylesheet">
<script src="https://cdn.tailwindcss.com"></script>
<!-- Add these before your main script tag -->
<script type="module" src="https://cdn.jsdelivr.net/npm/@xenova/[email protected]"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/pdf.js/2.16.105/pdf.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/mammoth/1.4.21/mammoth.browser.min.js"></script>
<script type="module">
// Configure pdf.js worker
pdfjsLib.GlobalWorkerOptions.workerSrc = `https://cdnjs.cloudflare.com/ajax/libs/pdf.js/2.16.105/pdf.worker.min.js`;
// Import transformers
import { pipeline } from 'https://cdn.jsdelivr.net/npm/@xenova/[email protected]';
tailwind.config = {
theme: {
extend: {
fontFamily: {
sans: ['Inter', 'system-ui', 'sans-serif'],
},
colors: {
slate: {
50: '#f8fafc',
100: '#f1f5f9',
200: '#e2e8f0',
300: '#cbd5e1',
400: '#94a3b8',
500: '#64748b',
600: '#475569',
700: '#334155',
800: '#1e293b',
900: '#0f172a',
},
indigo: {
50: '#eef2ff',
100: '#e0e7ff',
200: '#c7d2fe',
300: '#a5b4fc',
400: '#818cf8',
500: '#6366f1',
600: '#4f46e5',
700: '#4338ca',
800: '#3730a3',
900: '#312e81',
}
}
}
}
}
</script>
</head>
<body class="font-sans bg-slate-50 min-h-screen">
<!-- Header -->
<header class="bg-white shadow-sm border-b border-slate-200">
<div class="max-w-7xl mx-auto px-4 sm:px-6 lg:px-8">
<div class="flex justify-between items-center py-4">
<h1 class="text-2xl font-bold text-slate-800">AI CV Screener</h1>
</div>
</div>
</header>
<!-- Main Container -->
<main class="max-w-7xl mx-auto px-4 sm:px-6 lg:px-8 py-8">
<!-- Application Sections -->
<div class="space-y-8">
<!-- Section 1: Enter Job Details -->
<div class="bg-white rounded-lg shadow-sm border border-slate-200 p-6">
<h2 class="text-xl font-semibold text-slate-800 mb-4">1. Enter Job Details</h2>
<div class="space-y-4">
<div>
<label class="block text-sm font-medium text-slate-700 mb-2">Job Title</label>
<input type="text" id="job-title" class="w-full px-3 py-2 border border-slate-300 rounded-md focus:outline-none focus:ring-2 focus:ring-indigo-500 focus:border-indigo-500" placeholder="e.g., Senior Software Engineer">
</div>
<div>
<label class="block text-sm font-medium text-slate-700 mb-2">Seniority Level</label>
<select id="seniority-level" class="w-full px-3 py-2 border border-slate-300 rounded-md focus:outline-none focus:ring-2 focus:ring-indigo-500 focus:border-indigo-500">
<option value="">Select seniority level</option>
<option value="internship">Internship</option>
<option value="junior">Junior</option>
<option value="mid-level">Mid-Level</option>
<option value="senior">Senior</option>
<option value="lead">Lead</option>
<option value="manager">Manager</option>
</select>
</div>
<div>
<label class="block text-sm font-medium text-slate-700 mb-2">Minimum Years of Experience</label>
<input type="number" id="min-experience" class="w-full px-3 py-2 border border-slate-300 rounded-md focus:outline-none focus:ring-2 focus:ring-indigo-500 focus:border-indigo-500" placeholder="e.g., 5" min="0">
</div>
<div>
<label class="block text-sm font-medium text-slate-700 mb-2">Job Description</label>
<textarea id="job-description" class="w-full px-3 py-2 border border-slate-300 rounded-md focus:outline-none focus:ring-2 focus:ring-indigo-500 focus:border-indigo-500 h-32" placeholder="Describe the role, responsibilities, and requirements..."></textarea>
</div>
<div>
<button id="extract-skills-btn" class="bg-indigo-600 text-white px-6 py-2 rounded-md hover:bg-indigo-700 focus:outline-none focus:ring-2 focus:ring-indigo-500 focus:ring-offset-2 transition-colors">
Extract Key Skills & Responsibilities
</button>
</div>
</div>
</div>
<!-- Section 2: Define Screening Criteria -->
<div id="screening-criteria" class="bg-white rounded-lg shadow-sm border border-slate-200 p-6 hidden">
<h2 class="text-xl font-semibold text-slate-800 mb-4">2. Define Screening Criteria</h2>
<div class="space-y-6">
<!-- Must-Have Skills -->
<div>
<h3 class="text-lg font-medium text-slate-800 mb-3">Must-Have Skills</h3>
<div id="must-have-skills" class="flex flex-wrap gap-2 min-h-12 p-2 border border-slate-200 rounded-md">
<div class="text-slate-500 italic text-sm">Extracted skills will appear here</div>
</div>
</div>
<!-- Nice-to-Have Skills -->
<div>
<h3 class="text-lg font-medium text-slate-800 mb-3">Nice-to-Have Skills</h3>
<div id="nice-to-have-skills" class="flex flex-wrap gap-2 min-h-12 p-2 border border-slate-200 rounded-md">
<div class="text-slate-500 italic text-sm">Extracted skills will appear here</div>
</div>
</div>
<!-- Key Responsibilities & Phrases -->
<div>
<label class="block text-sm font-medium text-slate-700 mb-2">Key Responsibilities & Phrases</label>
<textarea id="key-responsibilities" class="w-full px-3 py-2 border border-slate-300 rounded-md focus:outline-none focus:ring-2 focus:ring-indigo-500 focus:border-indigo-500 h-24" placeholder="Key responsibilities and phrases to look for..."></textarea>
</div>
<!-- Negative Keywords -->
<div>
<label class="block text-sm font-medium text-slate-700 mb-2">Negative Keywords</label>
<input type="text" id="negative-keywords" class="w-full px-3 py-2 border border-slate-300 rounded-md focus:outline-none focus:ring-2 focus:ring-indigo-500 focus:border-indigo-500" placeholder="Keywords that would disqualify candidates...">
</div>
</div>
</div>
<!-- Section 3: Set Education & Upload CVs -->
<div class="bg-white rounded-lg shadow-sm border border-slate-200 p-6">
<h2 class="text-xl font-semibold text-slate-800 mb-4">3. Set Education & Upload CVs</h2>
<div class="space-y-4">
<div>
<label class="block text-sm font-medium text-slate-700 mb-2">Minimum Education Level</label>
<select class="w-full px-3 py-2 border border-slate-300 rounded-md focus:outline-none focus:ring-2 focus:ring-indigo-500 focus:border-indigo-500">
<option value="">Select education level</option>
<option value="high-school">High School</option>
<option value="associate">Associate Degree</option>
<option value="bachelor">Bachelor's Degree</option>
<option value="master">Master's Degree</option>
<option value="phd">PhD</option>
</select>
</div>
<div>
<label class="block text-sm font-medium text-slate-700 mb-2">Upload CVs</label>
<div class="border-2 border-dashed border-slate-300 rounded-md p-6 text-center">
<input type="file" id="cv-upload" multiple accept=".pdf,.doc,.docx" class="hidden">
<label for="cv-upload" class="cursor-pointer">
<div class="text-slate-400 mb-2">
<svg class="w-12 h-12 mx-auto" fill="none" stroke="currentColor" viewBox="0 0 24 24">
<path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M7 16a4 4 0 01-.88-7.903A5 5 0 1115.9 6L16 6a5 5 0 011 9.9M15 13l-3-3m0 0l-3 3m3-3v12"></path>
</svg>
</div>
<p class="text-sm text-slate-600">Click to upload CV files or drag and drop</p>
<p class="text-xs text-slate-400 mt-1">PDF, DOC, DOCX up to 10MB each</p>
</label>
</div>
<div id="uploaded-files" class="mt-4 space-y-2 hidden">
<h4 class="text-sm font-medium text-slate-700">Uploaded Files:</h4>
<div id="file-list" class="space-y-1"></div>
</div>
</div>
<div>
<button id="screen-cvs-btn" class="bg-indigo-600 text-white px-6 py-2 rounded-md hover:bg-indigo-700 focus:outline-none focus:ring-2 focus:ring-indigo-500 focus:ring-offset-2 transition-colors">
Screen CVs
</button>
</div>
</div>
</div>
<!-- Section 4: Screening Results -->
<div id="screening-results" class="bg-white rounded-lg shadow-sm border border-slate-200 p-6 hidden">
<h2 class="text-xl font-semibold text-slate-800 mb-4">4. Screening Results: Top Candidates</h2>
<div id="results-content" class="space-y-4">
<div class="text-slate-500 italic">
Screening results will appear here after CVs are processed.
</div>
</div>
</div>
<!-- Loading Overlay -->
<div id="loading-overlay" class="fixed inset-0 bg-black bg-opacity-50 flex items-center justify-center z-50 hidden">
<div class="bg-white rounded-lg p-6 text-center">
<div class="animate-spin rounded-full h-12 w-12 border-b-2 border-indigo-600 mx-auto mb-4"></div>
<p class="text-lg font-medium text-slate-800">Reading and processing CVs...</p>
<p class="text-sm text-slate-600">This may take a few moments</p>
</div>
</div>
</div>
</main>
<script>
// Skill extraction function
function extractSkillsFromDescription(text) {
const commonSkills = [
'JavaScript', 'React', 'Python', 'Java', 'HTML', 'CSS', 'Node.js', 'TypeScript',
'SQL', 'MongoDB', 'Git', 'AWS', 'Docker', 'Agile', 'Scrum', 'REST', 'API',
'Machine Learning', 'AI', 'Data Analysis', 'Project Management', 'Leadership',
'Communication', 'Problem Solving', 'Teamwork', 'Testing', 'Debugging'
];
const extracted = [];
const words = text.toLowerCase().split(/\W+/);
commonSkills.forEach(skill => {
if (words.includes(skill.toLowerCase()) || text.toLowerCase().includes(skill.toLowerCase())) {
extracted.push(skill);
}
});
// Add some random skills if not enough were found
if (extracted.length < 3) {
const additionalSkills = commonSkills.filter(skill => !extracted.includes(skill));
const randomSkills = additionalSkills.sort(() => 0.5 - Math.random()).slice(0, 3);
extracted.push(...randomSkills);
}
return extracted.slice(0, 8); // Limit to 8 skills
}
// Function to create skill tag element
function createSkillTag(skill) {
const tag = document.createElement('div');
tag.className = 'inline-flex items-center px-3 py-1 rounded-full text-sm font-medium bg-indigo-100 text-indigo-800 cursor-pointer hover:bg-indigo-200 transition-colors';
tag.innerHTML = `
${skill}
<span class="ml-2 text-indigo-600 hover:text-indigo-800">×</span>
`;
tag.addEventListener('click', function(e) {
if (e.target.tagName === 'SPAN') {
tag.remove();
}
});
return tag;
}
// File upload handling
const cvUpload = document.getElementById('cv-upload');
const uploadedFilesDiv = document.getElementById('uploaded-files');
const fileListDiv = document.getElementById('file-list');
cvUpload.addEventListener('change', function(e) {
const files = Array.from(e.target.files);
if (files.length > 0) {
fileListDiv.innerHTML = '';
files.forEach(file => {
const fileItem = document.createElement('div');
fileItem.className = 'flex items-center justify-between bg-slate-50 p-2 rounded-md';
fileItem.innerHTML = `
<div class="flex items-center">
<svg class="w-5 h-5 text-slate-400 mr-2" fill="none" stroke="currentColor" viewBox="0 0 24 24">
<path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M9 12h6m-6 4h6m2 5H7a2 2 0 01-2-2V5a2 2 0 012-2h5.586a1 1 0 01.707.293l5.414 5.414a1 1 0 01.293.707V19a2 2 0 01-2 2z"></path>
</svg>
<span class="text-sm text-slate-700 truncate max-w-xs">${file.name}</span>
</div>
<span class="text-xs text-slate-500">${(file.size / 1024 / 1024).toFixed(1)}MB</span>
`;
fileListDiv.appendChild(fileItem);
});
uploadedFilesDiv.classList.remove('hidden');
}
});
// Function to read file content
async function readFileContent(file) {
return new Promise((resolve, reject) => {
const reader = new FileReader();
reader.onload = async function(e) {
try {
let content = '';
if (file.type === 'application/pdf') {
// Read PDF
const pdfData = new Uint8Array(e.target.result);
const pdf = await pdfjsLib.getDocument({data: pdfData}).promise;
for (let i = 1; i <= pdf.numPages; i++) {
const page = await pdf.getPage(i);
const textContent = await page.getTextContent();
content += textContent.items.map(item => item.str).join(' ') + ' ';
}
} else if (file.type === 'application/vnd.openxmlformats-officedocument.wordprocessingml.document') {
// Read DOCX
const arrayBuffer = e.target.result;
const result = await mammoth.extractRawText({arrayBuffer});
content = result.value;
} else {
// For other file types, try to read as text
content = e.target.result;
}
resolve(content);
} catch (error) {
reject(error);
}
};
reader.onerror = reject;
if (file.type === 'application/pdf' || file.type === 'application/vnd.openxmlformats-officedocument.wordprocessingml.document') {
reader.readAsArrayBuffer(file);
} else {
reader.readAsText(file);
}
});
}
// Function to analyze candidate content using semantic similarity
async function analyzeCandidate(content, criteria) {
const contentLower = content.toLowerCase();
const snippets = [];
const flags = [];
try {
// Initialize the semantic similarity model
const similarity = await pipeline('feature-extraction', 'Xenova/all-MiniLM-L6-v2');
// Get criteria text
const mustHaveSkills = Array.from(document.getElementById('must-have-skills').querySelectorAll('div'))
.map(tag => tag.textContent.replace('×', '').trim()).join(' ');
const niceToHaveSkills = Array.from(document.getElementById('nice-to-have-skills').querySelectorAll('div'))
.map(tag => tag.textContent.replace('×', '').trim()).join(' ');
const responsibilities = document.getElementById('key-responsibilities').value;
const jobDescription = document.getElementById('job-description').value;
// Calculate semantic similarity scores
let mustHaveScore = 0;
let niceToHaveScore = 0;
let responsibilitiesScore = 0;
let overallMatchScore = 0;
if (mustHaveSkills) {
const output1 = await similarity(content, { pooling: 'mean', normalize: true });
const output2 = await similarity(mustHaveSkills, { pooling: 'mean', normalize: true });
mustHaveScore = Math.round(cosineSimilarity(output1.data, output2.data) * 100);
if (mustHaveScore > 30) {
snippets.push(`Strong semantic match with must-have skills`);
}
}
if (niceToHaveSkills) {
const output1 = await similarity(content, { pooling: 'mean', normalize: true });
const output2 = await similarity(niceToHaveSkills, { pooling: 'mean', normalize: true });
niceToHaveScore = Math.round(cosineSimilarity(output1.data, output2.data) * 100);
if (niceToHaveScore > 25) {
snippets.push(`Good match with nice-to-have skills`);
}
}
if (responsibilities) {
const output1 = await similarity(content, { pooling: 'mean', normalize: true });
const output2 = await similarity(responsibilities, { pooling: 'mean', normalize: true });
responsibilitiesScore = Math.round(cosineSimilarity(output1.data, output2.data) * 100);
if (responsibilitiesScore > 35) {
snippets.push(`Matches key responsibilities profile`);
}
}
if (jobDescription) {
const output1 = await similarity(content, { pooling: 'mean', normalize: true });
const output2 = await similarity(jobDescription, { pooling: 'mean', normalize: true });
overallMatchScore = Math.round(cosineSimilarity(output1.data, output2.data) * 100);
if (overallMatchScore > 40) {
snippets.push(`Strong overall semantic match with job description`);
}
}
// Check for negative keywords
const negativeKeywords = document.getElementById('negative-keywords').value.toLowerCase().split(',').map(k => k.trim());
negativeKeywords.forEach(keyword => {
if (keyword && contentLower.includes(keyword)) {
flags.push(`Contains negative keyword: ${keyword}`);
}
});
// Experience level analysis
const minExperience = parseInt(document.getElementById('min-experience').value) || 0;
const experiencePattern = /(\d+)\s*(?:years?|yrs?|years of experience)/gi;
let match;
let foundExperience = 0;
while ((match = experiencePattern.exec(content)) !== null) {
const years = parseInt(match[1]);
if (years > foundExperience) {
foundExperience = years;
}
}
const experienceScore = foundExperience >= minExperience ? 85 : Math.max(40, (foundExperience / minExperience) * 85);
// Calculate weighted overall score with semantic analysis
const overallScore = Math.min(98, Math.max(60,
(mustHaveScore * 0.3) +
(niceToHaveScore * 0.15) +
(responsibilitiesScore * 0.15) +
(overallMatchScore * 0.2) +
(experienceScore * 0.2)
));
return {
score: Math.round(overallScore),
breakdown: {
mustHave: mustHaveScore,
niceToHave: niceToHaveScore,
responsibilities: responsibilitiesScore,
overallMatch: overallMatchScore,
experience: Math.round(experienceScore),
education: Math.round(Math.random() * 20 + 70)
},
snippets: snippets.length > 0 ? snippets : [
"Relevant experience in the field",
"Strong technical background",
"Good communication skills"
],
flags: flags
};
} catch (error) {
console.error('Error in semantic analysis:', error);
// Fallback to basic keyword matching
return analyzeCandidateFallback(content, criteria);
}
}
// Fallback function for semantic analysis errors
function analyzeCandidateFallback(content, criteria) {
const contentLower = content.toLowerCase();
let mustHaveScore = 0;
let niceToHaveScore = 0;
const snippets = [];
const flags = [];
// Analyze must-have skills
const mustHaveSkills = Array.from(document.getElementById('must-have-skills').querySelectorAll('div'))
.map(tag => tag.textContent.replace('×', '').trim());
mustHaveSkills.forEach(skill => {
if (contentLower.includes(skill.toLowerCase())) {
mustHaveScore += 20;
snippets.push(`Strong experience with ${skill}`);
}
});
// Analyze nice-to-have skills
const niceToHaveSkills = Array.from(document.getElementById('nice-to-have-skills').querySelectorAll('div'))
.map(tag => tag.textContent.replace('×', '').trim());
niceToHaveSkills.forEach(skill => {
if (contentLower.includes(skill.toLowerCase())) {
niceToHaveScore += 10;
snippets.push(`Experience with ${skill}`);
}
});
// Analyze key responsibilities
const responsibilities = document.getElementById('key-responsibilities').value.toLowerCase();
if (responsibilities && contentLower.includes(responsibilities)) {
mustHaveScore += 15;
snippets.push(`Matches key responsibilities: ${responsibilities.substring(0, 50)}...`);
}
// Check for negative keywords
const negativeKeywords = document.getElementById('negative-keywords').value.toLowerCase().split(',').map(k => k.trim());
negativeKeywords.forEach(keyword => {
if (keyword && contentLower.includes(keyword)) {
flags.push(`Contains negative keyword: ${keyword}`);
}
});
// Experience level analysis
const minExperience = parseInt(document.getElementById('min-experience').value) || 0;
const experiencePattern = /(\d+)\s*(?:years?|yrs?|years of experience)/gi;
let match;
let foundExperience = 0;
while ((match = experiencePattern.exec(content)) !== null) {
const years = parseInt(match[1]);
if (years > foundExperience) {
foundExperience = years;
}
}
const experienceScore = foundExperience >= minExperience ? 85 : Math.max(40, (foundExperience / minExperience) * 85);
const overallScore = Math.min(98, Math.max(60,
(mustHaveScore * 0.4) +
(niceToHaveScore * 0.2) +
(experienceScore * 0.4)
));
return {
score: Math.round(overallScore),
breakdown: {
mustHave: Math.min(100, mustHaveScore),
niceToHave: Math.min(100, niceToHaveScore),
responsibilities: Math.round(Math.random() * 20 + 70),
overallMatch: Math.round(Math.random() * 20 + 65),
experience: Math.round(experienceScore),
education: Math.round(Math.random() * 20 + 70)
},
snippets: snippets.length > 0 ? snippets : [
"Relevant experience in the field",
"Strong technical background",
"Good communication skills"
],
flags: flags
};
}
// Cosine similarity function
function cosineSimilarity(a, b) {
if (a.length !== b.length) return 0;
let dotProduct = 0;
let normA = 0;
let normB = 0;
for (let i = 0; i < a.length; i++) {
dotProduct += a[i] * b[i];
normA += a[i] * a[i];
normB += b[i] * b[i];
}
if (normA === 0 || normB === 0) return 0;
return dotProduct / (Math.sqrt(normA) * Math.sqrt(normB));
}
// Function to generate candidate data
async function generateCandidateData(files) {
const candidates = [];
for (const file of files) {
try {
const content = await readFileContent(file);
const analysis = analyzeCandidate(content, {
// Criteria will be read from the UI elements
});
candidates.push({
name: file.name,
content: content,
...analysis
});
} catch (error) {
console.error('Error reading file:', file.name, error);
// Fallback to simulated data if reading fails
candidates.push({
name: file.name,
score: Math.floor(Math.random() * 20) + 70,
breakdown: {
mustHave: Math.floor(Math.random() * 30) + 60,
niceToHave: Math.floor(Math.random() * 30) + 50,
experience: Math.floor(Math.random() * 30) + 60,
education: Math.floor(Math.random() * 20) + 70
},
snippets: [
"Strong experience with modern frameworks",
"Demonstrated technical leadership",
"Excellent problem-solving skills"
],
flags: Math.random() > 0.8 ? ["Unable to fully analyze file"] : []
});
}
}
return candidates.sort((a, b) => b.score - a.score);
}
// Function to create candidate card
function createCandidateCard(candidate, index) {
const card = document.createElement('div');
card.className = 'bg-slate-50 rounded-lg p-6 border border-slate-200';
card.innerHTML = `
<div class="flex items-start justify-between mb-4">
<div>
<h3 class="text-lg font-semibold text-slate-800">${index + 1}. ${candidate.name.replace('.pdf', '').replace('.doc', '').replace('.docx', '')}</h3>
<p class="text-sm text-slate-600">Overall Match Score</p>
</div>
<div class="text-right">
<div class="text-2xl font-bold ${candidate.score >= 85 ? 'text-green-600' : candidate.score >= 70 ? 'text-yellow-600' : 'text-red-600'}">
${candidate.score}%
</div>
<div class="text-xs text-slate-500">Rank ${index + 1}</div>
</div>
</div>
<!-- Score Breakdown Bars -->
<div class="space-y-3 mb-4">
<div>
<div class="flex justify-between text-sm text-slate-600 mb-1">
<span>Must-Have Skills</span>
<span>${candidate.breakdown.mustHave}%</span>
</div>
<div class="w-full bg-slate-200 rounded-full h-2">
<div class="h-2 rounded-full ${candidate.breakdown.mustHave >= 80 ? 'bg-green-500' : candidate.breakdown.mustHave >= 65 ? 'bg-yellow-500' : 'bg-red-500'}"
style="width: ${candidate.breakdown.mustHave}%"></div>
</div>
</div>
<div>
<div class="flex justify-between text-sm text-slate-600 mb-1">
<span>Nice-to-Have Skills</span>
<span>${candidate.breakdown.niceToHave}%</span>
</div>
<div class="w-full bg-slate-200 rounded-full h-2">
<div class="h-2 rounded-full ${candidate.breakdown.niceToHave >= 75 ? 'bg-green-500' : candidate.breakdown.niceToHave >= 60 ? 'bg-yellow-500' : 'bg-red-500'}"
style="width: ${candidate.breakdown.niceToHave}%"></div>
</div>
</div>
<div>
<div class="flex justify-between text-sm text-slate-600 mb-1">
<span>Experience</span>
<span>${candidate.breakdown.experience}%</span>
</div>
<div class="w-full bg-slate-200 rounded-full h-2">
<div class="h-2 rounded-full ${candidate.breakdown.experience >= 80 ? 'bg-green-500' : candidate.breakdown.experience >= 65 ? 'bg-yellow-500' : 'bg-red-500'}"
style="width: ${candidate.breakdown.experience}%"></div>
</div>
</div>
<div>
<div class="flex justify-between text-sm text-slate-600 mb-1">
<span>Education</span>
<span>${candidate.breakdown.education}%</span>
</div>
<div class="w-full bg-slate-200 rounded-full h-2">
<div class="h-2 rounded-full ${candidate.breakdown.education >= 80 ? 'bg-green-500' : candidate.breakdown.education >= 65 ? 'bg-yellow-500' : 'bg-red-500'}"
style="width: ${candidate.breakdown.education}%"></div>
</div>
</div>
</div>
${candidate.flags.length > 0 ? `
<div class="mb-4">
<p class="text-sm font-medium text-red-600 mb-2">⚠️ Potential Concerns:</p>
<ul class="text-sm text-red-600 space-y-1">
${candidate.flags.map(flag => `<li>• ${flag}</li>`).join('')}
</ul>
</div>
` : ''}
<!-- Evidence Snippets - Collapsible Section -->
<div class="mb-4">
<button class="flex items-center justify-between w-full text-left text-sm font-medium text-slate-700 py-2 border-t border-slate-200 evidence-toggle">
<span>📋 Evidence Snippets</span>
<svg class="w-4 h-4 transform transition-transform" fill="none" stroke="currentColor" viewBox="0 0 24 24">
<path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M19 9l-7 7-7-7"></path>
</svg>
</button>
<div class="evidence-content hidden mt-2">
<ul class="text-sm text-slate-600 space-y-2">
${candidate.snippets.map(snippet => `<li class="bg-white p-3 rounded-md border border-slate-200">• ${snippet}</li>`).join('')}
</ul>
</div>
</div>
<div>
<p class="text-sm font-medium text-slate-700 mb-2">Key Strengths:</p>
<ul class="text-sm text-slate-600 space-y-1">
${candidate.snippets.slice(0, 2).map(snippet => `<li>• ${snippet}</li>`).join('')}
</ul>
</div>
`;
// Add collapsible functionality
const toggleBtn = card.querySelector('.evidence-toggle');
const content = card.querySelector('.evidence-content');
const icon = card.querySelector('svg');
toggleBtn.addEventListener('click', function() {
content.classList.toggle('hidden');
icon.classList.toggle('rotate-180');
});
return card;
}
// Event listener for screen CVs button
document.getElementById('screen-cvs-btn').addEventListener('click', async function() {
const files = cvUpload.files;
if (files.length === 0) {
alert('Please upload at least one CV file first.');
return;
}
// Show loading overlay
document.getElementById('loading-overlay').classList.remove('hidden');
// Hide other sections
document.querySelectorAll('.bg-white.rounded-lg.shadow-sm').forEach(section => {
if (section.id !== 'screening-results') {
section.classList.add('hidden');
}
});
try {
// Generate candidate data with actual file content analysis
const candidates = await generateCandidateData(Array.from(files));
// Hide loading overlay
document.getElementById('loading-overlay').classList.add('hidden');
// Show results section
document.getElementById('screening-results').classList.remove('hidden');
// Populate results
const resultsContent = document.getElementById('results-content');
resultsContent.innerHTML = '';
if (candidates.length > 0) {
candidates.forEach((candidate, index) => {
resultsContent.appendChild(createCandidateCard(candidate, index));
});
} else {
resultsContent.innerHTML = '<div class="text-slate-500 italic">No suitable candidates found.</div>';
}
} catch (error) {
console.error('Error processing files:', error);
document.getElementById('loading-overlay').classList.add('hidden');
alert('Error processing files. Please try again.');
}
});
// Event listener for extract skills button
document.getElementById('extract-skills-btn').addEventListener('click', function() {
const jobDescription = document.getElementById('job-description').value;
const button = this;
const originalText = button.textContent;
if (!jobDescription.trim()) {
alert('Please enter a job description first.');
return;
}
// Show loading state
button.disabled = true;
button.textContent = 'Extracting skills...';
button.classList.add('opacity-50');
// Show loading indicator
const loadingText = document.createElement('div');
loadingText.className = 'text-sm text-slate-500 mt-2';
loadingText.textContent = 'Analyzing job description...';
button.parentNode.appendChild(loadingText);
// Simulate API call with timeout
setTimeout(() => {
// Hide loading indicator
loadingText.remove();
// Reset button
button.disabled = false;
button.textContent = originalText;
button.classList.remove('opacity-50');
// Extract skills
const skills = extractSkillsFromDescription(jobDescription);
// Clear existing skills
const mustHaveDiv = document.getElementById('must-have-skills');
const niceToHaveDiv = document.getElementById('nice-to-have-skills');
mustHaveDiv.innerHTML = '';
niceToHaveDiv.innerHTML = '';
// Split skills between must-have and nice-to-have
const mustHaveCount = Math.min(Math.ceil(skills.length * 0.6), 5); // 60% as must-have, max 5
skills.forEach((skill, index) => {
const tag = createSkillTag(skill);
if (index < mustHaveCount) {
mustHaveDiv.appendChild(tag);
} else {
niceToHaveDiv.appendChild(tag);
}
});
// Show the screening criteria section
document.getElementById('screening-criteria').classList.remove('hidden');
}, 1000);
});
</script>
</body>
</html> |