diff --git a/app.js b/app.js
new file mode 100644
index 0000000..70d5379
--- /dev/null
+++ b/app.js
@@ -0,0 +1,323 @@
+document.addEventListener('DOMContentLoaded', () => {
+  // DOM Elements
+  const keywordsContainer = document.getElementById('keywords-container');
+  const refreshBtn = document.getElementById('refresh-btn');
+  const loading = document.getElementById('loading');
+  const selectedKeywordText = document.getElementById('selected-keyword-text');
+  const generatePromptBtn = document.getElementById('generate-prompt-btn');
+  const promptResult = document.getElementById('prompt-result');
+  const promptTitle = document.getElementById('prompt-title');
+  const promptBody = document.getElementById('prompt-body');
+  const copyPromptBtn = document.getElementById('copy-prompt-btn');
+  const copySuccess = document.getElementById('copy-success');
+  
+  // State
+  let selectedKeyword = null;
+  let currentPrompt = null;
+  
+  // Fetch trending keywords with opportunity scoring
+  const fetchTrendingKeywords = async () => {
+    try {
+      loading.classList.remove('hidden');
+      keywordsContainer.innerHTML = '';
+      
+      // Step 1: Get trending topics from multiple sources
+      const trendingTopics = await fetchTrendingTopics();
+      
+      // Step 2: Enrich with search volume and result count data
+      const enrichedKeywords = await enrichKeywordsWithOpportunityData(trendingTopics);
+      
+      // Step 3: Calculate opportunity score and sort
+      const keywordsWithOpportunity = calculateOpportunityScore(enrichedKeywords);
+      
+      if (keywordsWithOpportunity.length > 0) {
+        renderKeywords(keywordsWithOpportunity);
+      } else {
+        useBackupKeywords();
+      }
+    } catch (error) {
+      console.error('Error fetching trending keywords:', error);
+      useBackupKeywords();
+    } finally {
+      loading.classList.add('hidden');
+    }
+  };
+  
+  // Fetch trending topics from multiple sources for diversity
+  const fetchTrendingTopics = async () => {
+    try {
+      // Source 1: Wikipedia trending articles
+      const wikiResponse = await fetch('https://wikimedia.org/api/rest_v1/metrics/pageviews/top/en.wikipedia/all-access/2023/01/all-days');
+      const wikiData = await wikiResponse.json();
+      
+      let combinedTopics = [];
+      
+      // Process Wikipedia data
+      if (wikiData && wikiData.items && wikiData.items[0] && wikiData.items[0].articles) {
+        const wikiTopics = wikiData.items[0].articles
+          .filter(article => !article.article.startsWith('Special:') && 
+                            !article.article.startsWith('Main_Page') && 
+                            !article.article.startsWith('Wikipedia:'))
+          .slice(0, 15)
+          .map(article => ({
+            keyword: article.article.replace(/_/g, ' '),
+            searchVolume: article.views,
+            source: 'wikipedia'
+          }));
+        
+        combinedTopics = [...combinedTopics, ...wikiTopics];
+      }
+      
+      // Source 2: Use Google Trends API-like data (simulated)
+      // In a real implementation, you would use Google Trends API
+      const techTrendingTopics = [
+        { keyword: 'quantum computing applications', searchVolume: 85000 },
+        { keyword: 'edge computing use cases', searchVolume: 62000 },
+        { keyword: 'zero-knowledge proofs', searchVolume: 45000 },
+        { keyword: 'synthetic data generation', searchVolume: 73000 },
+        { keyword: 'federated learning models', searchVolume: 58000 },
+        { keyword: 'serverless architecture patterns', searchVolume: 67000 },
+        { keyword: 'homomorphic encryption', searchVolume: 41000 },
+        { keyword: 'computer vision in healthcare', searchVolume: 89000 },
+        { keyword: 'explainable ai techniques', searchVolume: 76000 },
+        { keyword: 'graph neural networks', searchVolume: 52000 }
+      ].map(item => ({ ...item, source: 'tech_trends' }));
+      
+      combinedTopics = [...combinedTopics, ...techTrendingTopics];
+      
+      // Source 3: Emerging research topics (simulated)
+      const emergingTopics = [
+        { keyword: 'biomimetic materials science', searchVolume: 32000 },
+        { keyword: 'neuromorphic computing chips', searchVolume: 28000 },
+        { keyword: 'digital twin technology applications', searchVolume: 47000 },
+        { keyword: 'post-quantum cryptography standards', searchVolume: 39000 },
+        { keyword: 'spatial computing interfaces', searchVolume: 43000 }
+      ].map(item => ({ ...item, source: 'emerging_research' }));
+      
+      combinedTopics = [...combinedTopics, ...emergingTopics];
+      
+      // Deduplicate and return
+      return Array.from(new Map(combinedTopics.map(item => 
+        [item.keyword, item])).values());
+        
+    } catch (error) {
+      console.error('Error fetching trending topics:', error);
+      return [];
+    }
+  };
+  
+  // Enrich keywords with search result counts
+  const enrichKeywordsWithOpportunityData = async (keywords) => {
+    // In a production environment, you would use a real search API
+    // Here we'll simulate the data with a deterministic algorithm
+    
+    return Promise.all(keywords.map(async (keyword) => {
+      // Simulate API call to get search result count
+      // In reality, you would use a search engine API
+      
+      // Algorithm to generate realistic but varied result counts
+      // Technical/specific keywords tend to have fewer results
+      const wordCount = keyword.keyword.split(' ').length;
+      const containsTechnicalTerms = /\b(api|algorithm|framework|protocol|quantum|neural|encryption|serverless|computing)\b/i.test(keyword.keyword);
+      const isNiche = wordCount >= 3 || containsTechnicalTerms;
+      
+      // Base result count - more specific terms have fewer results
+      let baseResultCount;
+      if (isNiche) {
+        baseResultCount = Math.floor(50000 + Math.random() * 500000);
+      } else {
+        baseResultCount = Math.floor(1000000 + Math.random() * 50000000);
+      }
+      
+      // Add some randomness but keep it deterministic for the same keyword
+      const seed = keyword.keyword.split('').reduce((acc, char) => acc + char.charCodeAt(0), 0);
+      const pseudoRandom = Math.sin(seed) * 10000;
+      const resultCount = Math.max(10000, Math.floor(baseResultCount + pseudoRandom));
+      
+      return {
+        ...keyword,
+        resultCount
+      };
+    }));
+  };
+  
+  // Calculate opportunity score based on search volume vs. result count
+  const calculateOpportunityScore = (keywords) => {
+    // Calculate the opportunity score
+    // Higher score = high search volume + low result count (better opportunity)
+    const keywordsWithScore = keywords.map(keyword => {
+      // Normalize search volume (0-100)
+      const maxSearchVolume = Math.max(...keywords.map(k => k.searchVolume));
+      const normalizedSearchVolume = (keyword.searchVolume / maxSearchVolume) * 100;
+      
+      // Normalize result count inversely (fewer results = higher score)
+      const maxResultCount = Math.max(...keywords.map(k => k.resultCount));
+      const normalizedResultCount = 100 - ((keyword.resultCount / maxResultCount) * 100);
+      
+      // Calculate opportunity score (weighted average)
+      // 60% weight to search volume, 40% weight to inverse result count
+      const opportunityScore = (normalizedSearchVolume * 0.6) + (normalizedResultCount * 0.4);
+      
+      // Calculate competition level (lower is better)
+      const competitionLevel = keyword.resultCount / keyword.searchVolume;
+      
+      return {
+        ...keyword,
+        opportunityScore: Math.round(opportunityScore),
+        competitionLevel: Math.round(competitionLevel)
+      };
+    });
+    
+    // Sort by opportunity score (highest first)
+    return keywordsWithScore
+      .sort((a, b) => b.opportunityScore - a.opportunityScore)
+      .slice(0, 10);
+  };
+  
+  // Use backup keywords when API fails
+  const useBackupKeywords = () => {
+    const backupKeywords = [
+      { keyword: 'quantum machine learning algorithms', opportunityScore: 95, searchVolume: 42000, resultCount: 156000, competitionLevel: 4 },
+      { keyword: 'zero-trust network architecture', opportunityScore: 92, searchVolume: 68000, resultCount: 310000, competitionLevel: 5 },
+      { keyword: 'synthetic data generation techniques', opportunityScore: 89, searchVolume: 51000, resultCount: 245000, competitionLevel: 5 },
+      { keyword: 'edge computing security frameworks', opportunityScore: 87, searchVolume: 73000, resultCount: 420000, competitionLevel: 6 },
+      { keyword: 'federated learning privacy', opportunityScore: 85, searchVolume: 47000, resultCount: 280000, competitionLevel: 6 },
+      { keyword: 'explainable ai for healthcare', opportunityScore: 82, searchVolume: 59000, resultCount: 390000, competitionLevel: 7 },
+      { keyword: 'post-quantum cryptography implementation', opportunityScore: 80, searchVolume: 38000, resultCount: 265000, competitionLevel: 7 },
+      { keyword: 'neuromorphic computing applications', opportunityScore: 78, searchVolume: 31000, resultCount: 225000, competitionLevel: 7 },
+      { keyword: 'graph neural networks for recommendation', opportunityScore: 76, searchVolume: 44000, resultCount: 340000, competitionLevel: 8 },
+      { keyword: 'digital twin technology standards', opportunityScore: 74, searchVolume: 53000, resultCount: 420000, competitionLevel: 8 }
+    ];
+    
+    renderKeywords(backupKeywords);
+  };
+  
+  // Render keywords
+  const renderKeywords = (keywords) => {
+    keywordsContainer.innerHTML = '';
+    
+    keywords.forEach(keyword => {
+      const keywordCard = document.createElement('div');
+      keywordCard.className = 'keyword-card';
+      keywordCard.dataset.keyword = keyword.keyword;
+      
+      // Display opportunity score and metrics
+      const score = keyword.opportunityScore || keyword.score || 0;
+      const searchVolume = keyword.searchVolume ? `${(keyword.searchVolume/1000).toFixed(1)}K` : 'N/A';
+      const resultCount = keyword.resultCount ? `${(keyword.resultCount/1000).toFixed(1)}K` : 'N/A';
+      const competitionLevel = keyword.competitionLevel || 'N/A';
+      
+      keywordCard.innerHTML = `
+        <div class="keyword-name">${keyword.keyword}</div>
+        <div class="keyword-metrics">
+          <div class="opportunity-score">Opportunity: <span class="highlight">${score}</span></div>
+          <div class="search-volume">Search: ${searchVolume}</div>
+          <div class="result-count">Results: ${resultCount}</div>
+          <div class="competition">Competition: ${competitionLevel}</div>
+        </div>
+      `;
+      
+      keywordCard.addEventListener('click', () => selectKeyword(keyword.keyword, keywordCard));
+      
+      keywordsContainer.appendChild(keywordCard);
+    });
+  };
+  
+  // Select a keyword
+  const selectKeyword = (keyword, card) => {
+    // Remove selected class from all cards
+    document.querySelectorAll('.keyword-card').forEach(k => k.classList.remove('selected'));
+    
+    // Add selected class to clicked card
+    card.classList.add('selected');
+    
+    // Update selected keyword
+    selectedKeyword = keyword;
+    selectedKeywordText.textContent = keyword;
+    
+    // Enable generate prompt button
+    generatePromptBtn.disabled = false;
+    
+    // Hide prompt result if visible
+    promptResult.classList.add('hidden');
+  };
+  
+  // Generate article prompt
+  const generatePrompt = () => {
+    if (!selectedKeyword) return;
+    
+    try {
+      loading.classList.remove('hidden');
+      generatePromptBtn.disabled = true;
+      
+      // Find the selected keyword data
+      const keywordData = Array.from(document.querySelectorAll('.keyword-card')).find(
+        card => card.dataset.keyword === selectedKeyword
+      );
+      
+      // Get opportunity metrics if available
+      const opportunityScore = keywordData?.querySelector('.opportunity-score .highlight')?.textContent || 'high';
+      const searchVolume = keywordData?.querySelector('.search-volume')?.textContent.split(': ')[1] || 'significant';
+      const resultCount = keywordData?.querySelector('.result-count')?.textContent.split(': ')[1] || 'limited';
+      
+      // Generate a ChatGPT-friendly prompt based on the keyword and opportunity metrics
+      const prompt = {
+        title: `Write a comprehensive article about "${selectedKeyword}" (High-Opportunity Keyword)`,
+        content: `Write a well-researched, engaging, and informative article about "${selectedKeyword}". This is a high-opportunity keyword with ${searchVolume} monthly searches but only ${resultCount} competing results.
+
+1. Start with an attention-grabbing introduction that explains why "${selectedKeyword}" is important or relevant today
+2. Include at least 5 main sections with appropriate headings
+3. Incorporate current statistics, trends, and expert opinions
+4. Address common questions or misconceptions about "${selectedKeyword}"
+5. Provide practical tips, applications, or future predictions related to "${selectedKeyword}"
+6. End with a compelling conclusion that summarizes key points and offers final thoughts
+7. Optimize the content for SEO while maintaining high-quality, valuable information
+
+The article should be approximately 1500-2000 words, written in a professional yet accessible tone, and formatted for easy online reading with appropriate headings, subheadings, and bullet points where relevant.`
+      };
+      
+      currentPrompt = prompt;
+      displayPrompt(prompt);
+    } catch (error) {
+      console.error('Error generating prompt:', error);
+      alert('Failed to generate prompt. Please try again.');
+    } finally {
+      loading.classList.add('hidden');
+      generatePromptBtn.disabled = false;
+    }
+  };
+  
+  // Display the generated prompt
+  const displayPrompt = (prompt) => {
+    promptTitle.textContent = prompt.title;
+    promptBody.textContent = prompt.content;
+    promptResult.classList.remove('hidden');
+  };
+  
+  // Copy prompt to clipboard
+  const copyPrompt = () => {
+    if (!currentPrompt) return;
+    
+    const fullPrompt = `${currentPrompt.title}\n\n${currentPrompt.content}`;
+    
+    navigator.clipboard.writeText(fullPrompt)
+      .then(() => {
+        copySuccess.classList.remove('hidden');
+        setTimeout(() => {
+          copySuccess.classList.add('hidden');
+        }, 2000);
+      })
+      .catch(err => {
+        console.error('Failed to copy prompt:', err);
+        alert('Failed to copy prompt to clipboard');
+      });
+  };
+  
+  // Event listeners
+  refreshBtn.addEventListener('click', fetchTrendingKeywords);
+  generatePromptBtn.addEventListener('click', generatePrompt);
+  copyPromptBtn.addEventListener('click', copyPrompt);
+  
+  // Initial load
+  fetchTrendingKeywords();
+});
\ No newline at end of file
diff --git a/index.html b/index.html
new file mode 100644
index 0000000..a5767e0
--- /dev/null
+++ b/index.html
@@ -0,0 +1,57 @@
+<!DOCTYPE html>
+<html lang="en">
+<head>
+  <meta charset="UTF-8">
+  <meta name="viewport" content="width=device-width, initial-scale=1.0">
+  <title>Trending Keywords & Article Prompts</title>
+  <link rel="stylesheet" href="styles.css">
+  <link href="https://fonts.googleapis.com/css2?family=Poppins:wght@300;400;500;600;700&display=swap" rel="stylesheet">
+</head>
+<body>
+  <div class="container">
+    <header>
+      <h1>Trending Keywords</h1>
+      <p>Discover globally trending topics and generate article prompts</p>
+    </header>
+    
+    <main>
+      <section class="trending-section">
+        <h2>Today's Trending Keywords</h2>
+        <div class="refresh-container">
+          <button id="refresh-btn">Refresh Keywords</button>
+          <div id="loading" class="loading hidden">Loading...</div>
+        </div>
+        <div id="keywords-container" class="keywords-container">
+          <!-- Keywords will be populated here -->
+        </div>
+      </section>
+      
+      <section class="prompt-section">
+        <h2>Article Prompt Generator</h2>
+        <div class="selected-keyword">
+          <p>Selected keyword: <span id="selected-keyword-text">None selected</span></p>
+        </div>
+        <button id="generate-prompt-btn" disabled>Generate Article Prompt</button>
+        
+        <div id="prompt-result" class="prompt-result hidden">
+          <h3>Your ChatGPT Prompt</h3>
+          <div class="prompt-content">
+            <h4 id="prompt-title"></h4>
+            <div id="prompt-body"></div>
+            <div class="copy-container">
+              <button id="copy-prompt-btn">Copy Prompt</button>
+              <span id="copy-success" class="copy-success hidden">Copied!</span>
+            </div>
+          </div>
+        </div>
+      </section>
+    </main>
+    
+    <footer>
+      <p>&copy; 2023 Trending Keywords App</p>
+    </footer>
+  </div>
+  
+  <script src="app.js"></script>
+</body>
+</html>
\ No newline at end of file
diff --git a/public/app.js b/public/app.js
new file mode 100644
index 0000000..43e5cdb
--- /dev/null
+++ b/public/app.js
@@ -0,0 +1,145 @@
+document.addEventListener('DOMContentLoaded', () => {
+  // DOM Elements
+  const keywordsContainer = document.getElementById('keywords-container');
+  const refreshBtn = document.getElementById('refresh-btn');
+  const loading = document.getElementById('loading');
+  const selectedKeywordText = document.getElementById('selected-keyword-text');
+  const generatePromptBtn = document.getElementById('generate-prompt-btn');
+  const promptResult = document.getElementById('prompt-result');
+  const promptTitle = document.getElementById('prompt-title');
+  const promptBody = document.getElementById('prompt-body');
+  const copyPromptBtn = document.getElementById('copy-prompt-btn');
+  const copySuccess = document.getElementById('copy-success');
+  
+  // State
+  let selectedKeyword = null;
+  let currentPrompt = null;
+  
+  // Fetch trending keywords
+  const fetchTrendingKeywords = async () => {
+    try {
+      loading.classList.remove('hidden');
+      keywordsContainer.innerHTML = '';
+      
+      const response = await fetch('/api/trending-keywords');
+      const data = await response.json();
+      
+      if (data.keywords && data.keywords.length > 0) {
+        renderKeywords(data.keywords);
+      } else {
+        keywordsContainer.innerHTML = '<p>No trending keywords found. Please try again later.</p>';
+      }
+    } catch (error) {
+      console.error('Error fetching trending keywords:', error);
+      keywordsContainer.innerHTML = '<p>Failed to load trending keywords. Please try again.</p>';
+    } finally {
+      loading.classList.add('hidden');
+    }
+  };
+  
+  // Render keywords
+  const renderKeywords = (keywords) => {
+    keywordsContainer.innerHTML = '';
+    
+    keywords.forEach(keyword => {
+      const keywordCard = document.createElement('div');
+      keywordCard.className = 'keyword-card';
+      keywordCard.dataset.keyword = keyword.keyword;
+      
+      keywordCard.innerHTML = `
+        <div class="keyword-name">${keyword.keyword}</div>
+        <div class="keyword-score">Trend score: ${keyword.score}</div>
+      `;
+      
+      keywordCard.addEventListener('click', () => selectKeyword(keyword.keyword, keywordCard));
+      
+      keywordsContainer.appendChild(keywordCard);
+    });
+  };
+  
+  // Select a keyword
+  const selectKeyword = (keyword, card) => {
+    // Remove selected class from all cards
+    document.querySelectorAll('.keyword-card').forEach(k => k.classList.remove('selected'));
+    
+    // Add selected class to clicked card
+    card.classList.add('selected');
+    
+    // Update selected keyword
+    selectedKeyword = keyword;
+    selectedKeywordText.textContent = keyword;
+    
+    // Enable generate prompt button
+    generatePromptBtn.disabled = false;
+    
+    // Hide prompt result if visible
+    promptResult.classList.add('hidden');
+  };
+  
+  // Generate article prompt
+  const generatePrompt = async () => {
+    if (!selectedKeyword) return;
+    
+    try {
+      loading.classList.remove('hidden');
+      generatePromptBtn.disabled = true;
+      
+      const response = await fetch('/api/generate-prompt', {
+        method: 'POST',
+        headers: {
+          'Content-Type': 'application/json',
+        },
+        body: JSON.stringify({ keyword: selectedKeyword }),
+      });
+      
+      const data = await response.json();
+      
+      if (data.prompt) {
+        currentPrompt = data.prompt;
+        displayPrompt(data.prompt);
+      } else {
+        alert('Failed to generate prompt. Please try again.');
+      }
+    } catch (error) {
+      console.error('Error generating prompt:', error);
+      alert('Failed to generate prompt. Please try again.');
+    } finally {
+      loading.classList.add('hidden');
+      generatePromptBtn.disabled = false;
+    }
+  };
+  
+  // Display the generated prompt
+  const displayPrompt = (prompt) => {
+    promptTitle.textContent = prompt.title;
+    promptBody.textContent = prompt.content;
+    promptResult.classList.remove('hidden');
+  };
+  
+  // Copy prompt to clipboard
+  const copyPrompt = () => {
+    if (!currentPrompt) return;
+    
+    const fullPrompt = `${currentPrompt.title}\n\n${currentPrompt.content}`;
+    
+    navigator.clipboard.writeText(fullPrompt)
+      .then(() => {
+        copySuccess.classList.remove('hidden');
+        setTimeout(() => {
+          copySuccess.classList.add('hidden');
+        }, 2000);
+      })
+      .catch(err => {
+        console.error('Failed to copy prompt:', err);
+        alert('Failed to copy prompt to clipboard');
+      });
+  };
+  
+  // Event listeners
+  refreshBtn.addEventListener('click', fetchTrendingKeywords);
+  generatePromptBtn.addEventListener('click', generatePrompt);
+  copyPromptBtn.addEventListener('click', copyPrompt);
+  
+  // Initial load
+  fetchTrendingKeywords();
+});
\ No newline at end of file
diff --git a/public/index.html b/public/index.html
new file mode 100644
index 0000000..a5767e0
--- /dev/null
+++ b/public/index.html
@@ -0,0 +1,57 @@
+<!DOCTYPE html>
+<html lang="en">
+<head>
+  <meta charset="UTF-8">
+  <meta name="viewport" content="width=device-width, initial-scale=1.0">
+  <title>Trending Keywords & Article Prompts</title>
+  <link rel="stylesheet" href="styles.css">
+  <link href="https://fonts.googleapis.com/css2?family=Poppins:wght@300;400;500;600;700&display=swap" rel="stylesheet">
+</head>
+<body>
+  <div class="container">
+    <header>
+      <h1>Trending Keywords</h1>
+      <p>Discover globally trending topics and generate article prompts</p>
+    </header>
+    
+    <main>
+      <section class="trending-section">
+        <h2>Today's Trending Keywords</h2>
+        <div class="refresh-container">
+          <button id="refresh-btn">Refresh Keywords</button>
+          <div id="loading" class="loading hidden">Loading...</div>
+        </div>
+        <div id="keywords-container" class="keywords-container">
+          <!-- Keywords will be populated here -->
+        </div>
+      </section>
+      
+      <section class="prompt-section">
+        <h2>Article Prompt Generator</h2>
+        <div class="selected-keyword">
+          <p>Selected keyword: <span id="selected-keyword-text">None selected</span></p>
+        </div>
+        <button id="generate-prompt-btn" disabled>Generate Article Prompt</button>
+        
+        <div id="prompt-result" class="prompt-result hidden">
+          <h3>Your ChatGPT Prompt</h3>
+          <div class="prompt-content">
+            <h4 id="prompt-title"></h4>
+            <div id="prompt-body"></div>
+            <div class="copy-container">
+              <button id="copy-prompt-btn">Copy Prompt</button>
+              <span id="copy-success" class="copy-success hidden">Copied!</span>
+            </div>
+          </div>
+        </div>
+      </section>
+    </main>
+    
+    <footer>
+      <p>&copy; 2023 Trending Keywords App</p>
+    </footer>
+  </div>
+  
+  <script src="app.js"></script>
+</body>
+</html>
\ No newline at end of file
diff --git a/public/styles.css b/public/styles.css
new file mode 100644
index 0000000..ad044e2
--- /dev/null
+++ b/public/styles.css
@@ -0,0 +1,182 @@
+* {
+  margin: 0;
+  padding: 0;
+  box-sizing: border-box;
+}
+
+body {
+  font-family: 'Poppins', sans-serif;
+  background-color: #f5f7fa;
+  color: #333;
+  line-height: 1.6;
+}
+
+.container {
+  max-width: 1200px;
+  margin: 0 auto;
+  padding: 20px;
+}
+
+header {
+  text-align: center;
+  margin-bottom: 40px;
+  padding: 20px 0;
+  background: linear-gradient(135deg, #6e8efb, #a777e3);
+  color: white;
+  border-radius: 10px;
+  box-shadow: 0 4px 6px rgba(0, 0, 0, 0.1);
+}
+
+header h1 {
+  font-size: 2.5rem;
+  margin-bottom: 10px;
+}
+
+header p {
+  font-size: 1.1rem;
+  opacity: 0.9;
+}
+
+section {
+  background: white;
+  border-radius: 10px;
+  padding: 25px;
+  margin-bottom: 30px;
+  box-shadow: 0 4px 6px rgba(0, 0, 0, 0.05);
+}
+
+h2 {
+  margin-bottom: 20px;
+  color: #444;
+  font-weight: 600;
+}
+
+.refresh-container {
+  display: flex;
+  align-items: center;
+  margin-bottom: 20px;
+}
+
+button {
+  background-color: #6e8efb;
+  color: white;
+  border: none;
+  padding: 10px 20px;
+  border-radius: 5px;
+  cursor: pointer;
+  font-size: 1rem;
+  font-weight: 500;
+  transition: background-color 0.3s;
+}
+
+button:hover {
+  background-color: #5a7df7;
+}
+
+button:disabled {
+  background-color: #cccccc;
+  cursor: not-allowed;
+}
+
+.loading {
+  margin-left: 15px;
+  color: #666;
+}
+
+.keywords-container {
+  display: grid;
+  grid-template-columns: repeat(auto-fill, minmax(200px, 1fr));
+  gap: 15px;
+}
+
+.keyword-card {
+  background: #f9f9f9;
+  border: 1px solid #eee;
+  border-radius: 8px;
+  padding: 15px;
+  cursor: pointer;
+  transition: transform 0.2s, box-shadow 0.2s;
+}
+
+.keyword-card:hover {
+  transform: translateY(-3px);
+  box-shadow: 0 5px 15px rgba(0, 0, 0, 0.1);
+}
+
+.keyword-card.selected {
+  border: 2px solid #6e8efb;
+  background-color: #f0f4ff;
+}
+
+.keyword-name {
+  font-weight: 500;
+  margin-bottom: 5px;
+}
+
+.keyword-score {
+  font-size: 0.9rem;
+  color: #888;
+}
+
+.selected-keyword {
+  margin-bottom: 20px;
+  padding: 10px;
+  background-color: #f0f4ff;
+  border-radius: 5px;
+}
+
+.prompt-result {
+  margin-top: 30px;
+  border: 1px solid #eee;
+  border-radius: 8px;
+  padding: 20px;
+}
+
+.prompt-content {
+  background-color: #f9f9f9;
+  padding: 20px;
+  border-radius: 5px;
+  margin-top: 15px;
+}
+
+#prompt-title {
+  margin-bottom: 15px;
+  color: #333;
+}
+
+#prompt-body {
+  white-space: pre-wrap;
+  line-height: 1.7;
+}
+
+.copy-container {
+  margin-top: 20px;
+  display: flex;
+  align-items: center;
+}
+
+.copy-success {
+  margin-left: 10px;
+  color: #4CAF50;
+}
+
+footer {
+  text-align: center;
+  margin-top: 40px;
+  padding: 20px 0;
+  color: #777;
+}
+
+.hidden {
+  display: none;
+}
+
+@media (max-width: 768px) {
+  .keywords-container {
+    grid-template-columns: repeat(auto-fill, minmax(150px, 1fr));
+  }
+  
+  header h1 {
+    font-size: 2rem;
+  }
+}
\ No newline at end of file
diff --git a/styles.css b/styles.css
new file mode 100644
index 0000000..156fd9a
--- /dev/null
+++ b/styles.css
@@ -0,0 +1,187 @@
+* {
+  margin: 0;
+  padding: 0;
+  box-sizing: border-box;
+}
+
+body {
+  font-family: 'Poppins', sans-serif;
+  background-color: #f5f7fa;
+  color: #333;
+  line-height: 1.6;
+}
+
+.container {
+  max-width: 1200px;
+  margin: 0 auto;
+  padding: 20px;
+}
+
+header {
+  text-align: center;
+  margin-bottom: 40px;
+  padding: 20px 0;
+  background: linear-gradient(135deg, #6e8efb, #a777e3);
+  color: white;
+  border-radius: 10px;
+  box-shadow: 0 4px 6px rgba(0, 0, 0, 0.1);
+}
+
+header h1 {
+  font-size: 2.5rem;
+  margin-bottom: 10px;
+}
+
+header p {
+  font-size: 1.1rem;
+  opacity: 0.9;
+}
+
+section {
+  background: white;
+  border-radius: 10px;
+  padding: 25px;
+  margin-bottom: 30px;
+  box-shadow: 0 4px 6px rgba(0, 0, 0, 0.05);
+}
+
+h2 {
+  margin-bottom: 20px;
+  color: #444;
+  font-weight: 600;
+}
+
+.refresh-container {
+  display: flex;
+  align-items: center;
+  margin-bottom: 20px;
+}
+
+button {
+  background-color: #6e8efb;
+  color: white;
+  border: none;
+  padding: 10px 20px;
+  border-radius: 5px;
+  cursor: pointer;
+  font-size: 1rem;
+  font-weight: 500;
+  transition: background-color 0.3s;
+}
+
+button:hover {
+  background-color: #5a7df7;
+}
+
+button:disabled {
+  background-color: #cccccc;
+  cursor: not-allowed;
+}
+
+.loading {
+  margin-left: 15px;
+  color: #666;
+}
+
+.keywords-container {
+  display: grid;
+  grid-template-columns: repeat(auto-fill, minmax(200px, 1fr));
+  gap: 15px;
+}
+
+.keyword-card {
+  background: #f9f9f9;
+  border: 1px solid #eee;
+  border-radius: 8px;
+  padding: 15px;
+  cursor: pointer;
+  transition: transform 0.2s, box-shadow 0.2s;
+}
+
+.keyword-card:hover {
+  transform: translateY(-3px);
+  box-shadow: 0 5px 15px rgba(0, 0, 0, 0.1);
+}
+
+.keyword-card.selected {
+  border: 2px solid #6e8efb;
+  background-color: #f0f4ff;
+}
+
+.keyword-name {
+  font-weight: 500;
+  margin-bottom: 5px;
+}
+
+.keyword-metrics {
+  margin-top: 8px;
+  font-size: 0.85rem;
+  color: #666;
+  display: grid;
+  grid-template-columns: 1fr 1fr;
+  gap: 5px;
+}
+
+.opportunity-score {
+  grid-column: 1 / -1;
+  font-weight: 500;
+  color: #444;
+}
+
+.highlight {
+  color: #6e8efb;
+  font-weight: 600;
+}
+
+.selected-keyword {
+  margin-bottom: 20px;
+  padding: 10px;
+  background-color: #f0f4ff;
+  border-radius: 5px;
+}
+
+.prompt-result {
+  margin-top: 30px;
+  border: 1px solid #eee;
+  border-radius: 8px;
+  padding: 20px;
+}
+
+.prompt-content {
+  background-color: #f9f9f9;
+  padding: 20px;
+  border-radius: 5px;
+  margin-top: 15px;
+}
+
+#prompt-title {
+  margin-bottom: 15px;
+  color: #333;
+}
+
+#prompt-body {
+  white-space: pre-wrap;
+  line-height: 1.7;
+}
+
+.copy-container {
+  margin-top: 20px;
+  display: flex;
+  align-items: center;
+}
+
+.copy-success {
+  margin-left: 10px;
+  color: #4CAF50;
+}
+
+footer {
+  text-align: center;
+  margin-top: 40px;
+  padding: 20px 0;
+  color: #777;
+}
+
+.hidden {
+  display: none;
+}
\ No newline at end of file