This model is designed to automatically analyze resumes submitted by students. It uses Natural Language Processing (NLP) to extract key skills and a Decision Tree machine learning algorithm trained on TF-IDF features to classify each resume into one of four categories: Web Developer, Data Analyst, AI/ML Specialist, or Core Engineer. In addition to predicting the category, the model also identifies and highlights the top three most relevant skills from the resume. This system helps recruiters and placement cells quickly sort and evaluate talent based on skills and job-fit."

index.html

@@ -31,7 +31,7 @@
     <div class="hero-section text-center">
         <div class="container">
             <h1 class="display-4 fw-bold mb-3">ResumeRanker Pro 🌟</h1>
-            <p class="lead mb-4">AI-powered NLP resume analyzer with Decision Tree classification for student placements</p>
+            <p class="lead mb-4">Advanced NLP and Decision Tree-powered resume classification for student talent evaluation</p>
 </div>
     </div>
 
@@ -54,18 +54,19 @@
             <div class="col-md-6">
                 <div class="card h-100">
                     <div class="card-body">
-                        <h3 class="card-title"><i class="fas fa-tag me-2"></i>Predicted Job Category</h3>
-                        <p class="text-muted small">Categories: Web Developer, Data Analyst, AI/ML Specialist, Core Engineer</p>
-<div class="mt-3" id="categoryResult"></div>
-                    </div>
+                        <h3 class="card-title"><i class="fas fa-tag me-2"></i>Job Category Prediction</h3>
+                        <p class="text-muted small mb-2">Categories: Web Developer, Data Analyst, AI/ML Specialist, Core Engineer</p>
+                        <div class="mt-3" id="categoryResult"></div>
+</div>
                 </div>
             </div>
             <div class="col-md-6">
                 <div class="card h-100">
                     <div class="card-body">
-                        <h3 class="card-title"><i class="fas fa-star me-2"></i>Top Skills</h3>
+                        <h3 class="card-title"><i class="fas fa-star me-2"></i>Key Skill Extraction</h3>
+                        <p class="text-muted small mb-2">NLP-identified top 3 most relevant skills</p>
                         <div class="mt-3" id="skillsResult"></div>
-                    </div>
+</div>
                 </div>
             </div>
         </div>
@@ -77,8 +78,8 @@
                         <div class="feature-icon">
                             <i class="fas fa-brain"></i>
                         </div>
-                        <h4>NLP Processing</h4>
-                        <p>Natural Language Processing extracts key skills from resumes</p>
+                        <h4>NLP + Decision Tree</h4>
+                        <p>TF-IDF features with Decision Tree model for classification</p>
 </div>
                 </div>
             </div>
@@ -88,8 +89,8 @@
                         <div class="feature-icon">
                             <i class="fas fa-file-alt"></i>
                         </div>
-                        <h4>Decision Tree Model</h4>
-                        <p>Trained classifier with TF-IDF features for accurate job matching</p>
+                        <h4>Student Focused</h4>
+                        <p>Optimized for analyzing student resumes and early-career profiles</p>
 </div>
                 </div>
             </div>
@@ -99,9 +100,9 @@
                         <div class="feature-icon">
                             <i class="fas fa-chart-bar"></i>
                         </div>
-                        <h4>Skill Analysis</h4>
-                        <p>Identifies and ranks top skills from each resume</p>
-                    </div>
+                        <h4>4-Category System</h4>
+                        <p>Classifies into Web, Data, AI/ML or Core engineering roles</p>
+</div>
                 </div>
             </div>
         </div>
@@ -121,16 +122,15 @@
             document.getElementById('categoryResult').innerHTML = `
                 <div class="alert alert-success">
                     <h4 class="alert-heading">AI/ML Specialist</h4>
-                    <p>This resume matches our AI/ML Specialist profile with <strong>87% confidence</strong>.</p>
-                    <hr>
-                    <p class="mb-0">Top features: python, machine learning, tensorflow</p>
+                    <p class="mb-1"><strong>Confidence:</strong> 86%</p>
+                    <p>This profile shows strong machine learning and data science competencies.</p>
                 </div>
-`;
-            document.getElementById('skillsResult').innerHTML = `
+            `;
+document.getElementById('skillsResult').innerHTML = `
                 <div class="d-flex flex-wrap gap-2">
-                    <span class="badge bg-primary p-2">Python (93%)</span>
-                    <span class="badge bg-primary p-2">TensorFlow (88%)</span>
-                    <span class="badge bg-primary p-2">Machine Learning (85%)</span>
+                    <span class="badge bg-primary p-2">Python (92%)</span>
+                    <span class="badge bg-primary p-2">TensorFlow (87%)</span>
+                    <span class="badge bg-primary p-2">NLP (84%)</span>
 </div>
             `;