added plot to readme

README.md

@@ -40,9 +40,18 @@ We compared three algorithms to find the best predictor:
 *   **MAPE**: Average percentage error.
 
 ### 3. Advanced Analysis (Plots)
-*   **`diversity_plot.png`**: A PCA visualization showing the semantic spread of the 10,000 generated descriptions.
-*   **`model_comparison.png`**: Bar chart comparing RMSE across models and ROC curves for viral classification validity.
-*   **`feature_importance.png`**: The top 20 words and metadata features that drive virality in our simulated world.
+
+#### Semantic Diversity (PCA)
+![Diversity Plot](project_plots/diversity_plot.png)
+*A PCA visualization showing the semantic spread of the 10,000 generated descriptions.*
+
+#### Model Performance
+![Model Comparison](project_plots/model_comparison.png)
+*Bar chart comparing RMSE across models and ROC curves for viral classification validity.*
+
+#### Feature Importance
+![Feature Importance](project_plots/feature_importance.png)
+*The top 20 words and metadata features that drive virality in our simulated world.*
 
 ## 🛠️ Tech Stack
 *   **Core**: Python, Pandas, Numpy, Scikit-Learn