Update README.md only

README.md

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 ---
-license: cc-by-nc-4.0
+license: mit
+tags:
+  - recommendation
+  - binary-classification
+  - music
+  - ensemble
 ---
+
+# 🎵 Music Recommendation System
+
+This repository hosts a collection of machine learning models designed to recommend songs by predicting whether a user is likely to "like" a track based on its audio features.
+
+## 📁 Files Included
+
+- `data.csv` — Dataset of 195 songs with features like danceability, energy, loudness, tempo, etc.
+- Trained model files:
+  - `logistic_regression.joblib`
+  - `random_forest.joblib`
+  - `xgboost.joblib`
+  - `svm.joblib`
+  - `voting_classifier.joblib`
+  - `catboost_model.cbm`
+  - `ann_model.keras`
+- `final_model_card_scaled.pdf` — Full model evaluation, comparison table, and chart
+
+## 🧠 Models Used
+
+- Logistic Regression
+- Random Forest
+- XGBoost
+- Support Vector Machine (SVM)
+- Voting Classifier (Ensemble)
+- CatBoost
+- Artificial Neural Network (ANN)
+
+## 📊 Evaluation
+
+All models were evaluated using:
+- Accuracy
+- Precision
+- Recall
+- F1-Score
+
+Refer to the PDF `final_model_card_scaled.pdf` for full details.
+
+## 📬 Contact
+
+Maintained by Sujal Thakkar.