This consists a Place Recommendation Engine for all the places in India, search all the places in particular cities, and suppose someone had visited some city/place then this recommendation system recommend best cities/places which are most similar cities/places to the given ones.
This MLproject is based on content and popularity bases Recommendation System, uses of Natural Language Processing for text/description Summarizer and also NLP is used to manipulate the data for Content based Filtering
To show the poject, streamlit is used for the web development and deployment. This is an end-to-end Project to recoommend for the tourists and travelers.
Libraries used: pandas, numpy, nltk, streamlit, sklearn, Folium
Dataset: Data collect with some web scrapping from tourism website and also from Kaggle which consist cities, places, rating, description, reviews
Project Link : https://trip-planner-m.streamlit.app/