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README.md

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+
+# SVM Ticket Agent Classifier
+
+This model classifies support tickets to either DATA AGENT or USER ACCESS AGENT based on the ticket text.
+
+## Model Details
+- Model Type: Support Vector Machine (SVM)
+- Feature Extraction: TF-IDF Vectorizer
+- Training Size: 40 samples
+- Classes: ['DATA AGENT', 'No decision', 'USER ACCESS AGENT']
+
+## Usage
+```python
+from joblib import load
+
+# Load model components
+pipeline = load('pipeline.joblib')
+label_encoder = load('label_encoder.joblib')
+
+# Make prediction
+text = "I need access to the sales dashboard"
+agent_encoded = pipeline.predict([text])[0]
+agent = label_encoder.inverse_transform([agent_encoded])[0]
+```
+        

label_encoder.joblib

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+size 577

pipeline.joblib

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