Update app.py

app.py

@@ -37,6 +37,8 @@ def preprocess(text):
 def synonym_match(job_desc, resume):
     match_count = 0
     total_keywords = 0
+    matched_keywords = set()
+    missing_keywords = set()
     
     for key, variants in synonyms.items():
         job_contains = any(term in job_desc for term in variants) or key in job_desc
@@ -46,18 +48,21 @@ def synonym_match(job_desc, resume):
             total_keywords += 1
             if resume_contains:
                 match_count += 1
+                matched_keywords.add(key)
+            else:
+                missing_keywords.add(key)
                 
-    return (match_count / total_keywords) * 100 if total_keywords > 0 else 0
+    return (match_count / total_keywords) * 100 if total_keywords > 0 else 0, list(matched_keywords)[:5], list(missing_keywords)[:5]
 
 def keyword_match(job_desc, resume):
     job_keywords = set(re.findall(r'\b\w+\b', job_desc))
     resume_keywords = set(re.findall(r'\b\w+\b', resume))
     common_keywords = job_keywords.intersection(resume_keywords)
-    return (len(common_keywords) / len(job_keywords)) * 100 if job_keywords else 0
+    return (len(common_keywords) / len(job_keywords)) * 100 if job_keywords else 0, list(common_keywords)[:5]
 
-st.title("Advanced Resume and Job Description Similarity Checker")
+st.title("Resume and Job Description Similarity Checker")
 
-job_description = st.text_area("Paste the job description here:", height=200)
+job_description = st.text_area("Paste a job description here:", height=200)
 resume_text = st.text_area("Paste your resume here:", height=200)
 
 if st.button("Compare"):
@@ -71,17 +76,22 @@ if st.button("Compare"):
         resume_embedding = model.encode(processed_resume)
         similarity_score = util.cos_sim(job_description_embedding, resume_embedding).item() * 100
 
-        # Calculate keyword-based similarity
-        keyword_score = keyword_match(processed_job_desc, processed_resume)
+        # Calculate keyword-based similarity and matched keywords
+        keyword_score, matched_keywords = keyword_match(processed_job_desc, processed_resume)
 
-        # Calculate synonym-based similarity
-        synonym_score = synonym_match(processed_job_desc, processed_resume)
+        # Calculate synonym-based similarity and missing skills
+        synonym_score, synonym_matches, synonym_misses = synonym_match(processed_job_desc, processed_resume)
         
         # Combine scores (adjusting weights as needed)
         overall_score = (similarity_score * 0.5) + (keyword_score * 0.3) + (synonym_score * 0.2)
         
+        # Display the overall similarity score
         st.write(f"**Overall Similarity Score:** {overall_score:.2f}%")
         
+        # Display matched keywords and missing skills
+        st.write("**Matched Keywords:**", ", ".join(matched_keywords + synonym_matches)[:5])
+        st.write("**Missing Skills to Consider Adding:**", ", ".join(synonym_misses)[:5])
+
         # Adjusted feedback based on combined score
         if overall_score > 80:
             st.success("Excellent match! Your resume closely aligns with the job description.")
@@ -94,4 +104,4 @@ if st.button("Compare"):
         else:
             st.error("Very low match. Your resume is significantly different from the job description. Major revisions may be needed.")
     else:
-        st.error("Please paste both the job description and your resume to proceed.")
+        st.error("Please paste both the job description and your resume to proceed.")