{"id":19795429,"url":"https://github.com/nanith777/hotel_recommendation","last_synced_at":"2026-04-17T11:32:12.827Z","repository":{"id":243730814,"uuid":"812365101","full_name":"NANITH777/Hotel_Recommendation","owner":"NANITH777","description":"This project implements a hotel recommendation system using Streamlit, a Python library for building interactive web applications. 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The recommendation system analyzes hotel descriptions and suggests the most relevant hotels based on user input.\n\n## Installation\n\n1. Clone the repository to your local machine:\n\n    ```bash\n    git clone https://github.com/NANITH777/Hotel_Recommendation.git\n    ```\n\n2. Navigate to the project directory:\n\n    ```bash\n    cd hotel-recommendation-system\n    ```\n\n3. Install the required dependencies:\n\n    ```bash\n    pip install -r requirements.txt\n    ```\n\n## Usage\n\n1. Run the Streamlit application:\n\n    ```bash\n    streamlit run hotel.py\n    ```\n\n2. Access the application in your web browser at [http://localhost:8502](http://localhost:8502).\n\n3. Enter the location (e.g., Italy, UK, Netherlands) and a brief description of your trip (e.g., \"I am going on a business trip\").\n\n4. Click the \"Get Recommendations\" button to view hotel recommendations based on your input.\n\n5. To reset the input fields and recommendations, click the \"Reset\" button.\n\n## Files\n\n- `hotel.py`: Python script containing the Streamlit application code.\n- `Hotel_Reviews.csv`: Dataset containing hotel reviews data.\n- `README.md`: Documentation file providing instructions and information about the project.\n- `Requirements.txt`: Requirements\n\n## Libraries Used\n\n- `nltk`: Natural Language Toolkit for text processing tasks such as tokenization and lemmatization.\n- `pandas`: Data manipulation and analysis library for working with tabular data.\n- `numpy`: Numerical computing library for handling arrays and mathematical operations.\n- `streamlit`: Web application framework for creating interactive data apps.\n\n## Functionality\n\n- The application preprocesses hotel descriptions and calculates similarity scores based on user input.\n- It recommends the top 10 hotels with the highest similarity scores and average ratings.\n- Users can reset the input fields to start a new search.\n\n  # Interface with Streamlit\n\n\u003cimg width=\"381\" alt=\"reset\" src=\"https://github.com/NANITH777/Hotel_Recommendation/assets/109669139/01df39e4-2cdb-4d20-aac8-4d8527383468\"\u003e\n\u003cimg width=\"404\" alt=\"rec_result\" src=\"https://github.com/NANITH777/Hotel_Recommendation/assets/109669139/e114229c-0101-4bdc-ae8d-0e5ec2d273ae\"\u003e\n\u003cimg width=\"368\" alt=\"Recommendation\" src=\"https://github.com/NANITH777/Hotel_Recommendation/assets/109669139/bb30edff-9ca6-412d-974a-f327df96246e\"\u003e\n\u003cimg width=\"361\" alt=\"Result\" src=\"https://github.com/NANITH777/Hotel_Recommendation/assets/109669139/e9998ea8-fa23-4e9b-9868-a2e2a1124e5e\"\u003e\n\u003cimg width=\"379\" alt=\"Hotel_findingR\" src=\"https://github.com/NANITH777/Hotel_Recommendation/assets/109669139/4920c082-9c40-4b9e-a257-99358000ac4b\"\u003e\n\u003cimg width=\"391\" alt=\"Hotel_IT_1\" src=\"https://github.com/NANITH777/Hotel_Recommendation/assets/109669139/d1cc2b04-6b64-4a7e-a00e-975bbe780ccc\"\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnanith777%2Fhotel_recommendation","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnanith777%2Fhotel_recommendation","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnanith777%2Fhotel_recommendation/lists"}