Create README.md

README.md

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+---
+language: en
+license: mit
+tags:
+- recommendation-system
+- collaborative-filtering
+- matrix-factorization
+- movielens
+- svd
+- internship-task
+datasets:
+- movielens
+model-index:
+- name: DataSynthis_ML_JobTask
+  results:
+  - task:
+      type: recommendation
+      name: Movie Recommendation
+    dataset:
+      name: MovieLens
+      type: movielens
+    metrics:
+      - type: precision@k
+        value: 0.7460454747522295
+      - type: recall@k
+        value: 0.5147626084794534
+---
+
+# 🎬 Movie Recommendation System (DataSynthis ML Job Task)
+
+This model was built using the MovieLens dataset for the **ML Engineer Intern task**.
+
+### Features
+Item-based Collaborative Filtering
+Matrix Factorization (SVD)
+Evaluation Metrics: Precision@K, Recall@K, NDCG
+
+### How to Use
+```python
+from joblib import load
+model = load("model.joblib")
+# Use recommend_movies(user_id, N) function