Update README.md

README.md

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----
-title: RECOMMENDATION SYSTEM
-emoji: 🚀
-colorFrom: red
-colorTo: red
-sdk: docker
-app_port: 8501
-tags:
-- streamlit
-pinned: false
-short_description: Plot based recommendation movies list
-license: mit
----
+# 🎬 Movie Recommendation System
+
+This is a **content-based movie recommender** built using **Python, Streamlit, and Hugging Face Spaces**.  
+It suggests movies similar to your favorite film using cosine similarity on movie metadata.
+
+## 🚀 Features
+- Search any movie from the dataset
+- Get 5 similar movie recommendations instantly
+- Interactive web app powered by Streamlit
 
-# Welcome to Streamlit!
+## 🛠 Tech Stack
+- **Python 3.9**
+- **Pandas**, **NumPy** for data processing
+- **Scikit-learn** for cosine similarity
+- **Streamlit** for UI
+- Hosted on **Hugging Face Spaces**
 
-Edit `/src/streamlit_app.py` to customize this app to your heart's desire. :heart:
+## 📂 Dataset
+The app uses:
+- `tmdb_5000_movies.csv`
+- `tmdb_5000_credits.csv`  
+(from [Kaggle TMDB Movie Dataset](https://www.kaggle.com/datasets/tmdb/tmdb-movie-metadata)).
+
+## 🔗 Live Demo
+👉 [**Try the App Here**](https://huggingface.co/spaces/akashraut/RECOMMENDATION_SYSTEM)
+
+---
 
-If you have any questions, checkout our [documentation](https://docs.streamlit.io) and [community
-forums](https://discuss.streamlit.io).
+### How to Run Locally
+```bash
+git clone https://huggingface.co/spaces/akashraut/RECOMMENDATION_SYSTEM
+cd RECOMMENDATION_SYSTEM
+pip install -r requirements.txt
+streamlit run app.py