Create weakness_analyzer.py

utils/weakness_analyzer.py

@@ -0,0 +1,43 @@
+import pandas as pd
+
+def analyze_weakness(csv_file):
+    """
+    Analyzes a CSV file with student scores to identify weak topics.
+    
+    Parameters:
+        csv_file (file): Uploaded CSV file (must contain 'Topic' and 'Score' columns).
+    
+    Returns:
+        str: Analysis report of weak and strong topics.
+    """
+    try:
+        df = pd.read_csv(csv_file)
+
+        if 'Topic' not in df.columns or 'Score' not in df.columns:
+            return "❌ CSV must contain 'Topic' and 'Score' columns."
+
+        avg_score = df['Score'].mean()
+        weak_topics = df[df['Score'] < avg_score]
+        strong_topics = df[df['Score'] >= avg_score]
+
+        report = f"📊 Average Score: {round(avg_score, 2)}\n\n"
+        report += "❌ Weak Topics:\n"
+        if not weak_topics.empty:
+            report += "\n".join(
+                [f"- {row['Topic']} ({row['Score']})" for index, row in weak_topics.iterrows()]
+            )
+        else:
+            report += "None 🎉"
+
+        report += "\n\n✅ Strong Topics:\n"
+        if not strong_topics.empty:
+            report += "\n".join(
+                [f"- {row['Topic']} ({row['Score']})" for index, row in strong_topics.iterrows()]
+            )
+        else:
+            report += "None"
+
+        return report
+
+    except Exception as e:
+        return f"Error analyzing file: {str(e)}"