• Raja Babu
• Kaustav Sanyal
• Muchkund Kumar Dubey
• Upayan Das

Our project, Travelogue: A Travel Package Recommendation using python is a Travel planner developed for those travel freaks who love wandering and exploring new places around the globe. This is a special type of search engine which gives the users a recommendation on which are the popular places that he/she must visit at a particular destination. It is basically a front-end user interface to gather all the travel requirements from the user and provide the proposed travel itineraries back to the user, and a back end journey planning engine which performs the actual computation of the possible trip plans, prioritizing these according to the user's requirements (e.g., Number of days of the tour, number of people, date of arrival, date of departure, etc ). This system aims to revolutionize the travel industry by offering a user-centric approach that enhances travel planning experiences. Through collaborative filtering, content-based filtering, and hybrid recommendation strategies, Travelogue provides users with curated packages that align with their preferences, ensuring a delightful and hassle-free travel experience. The integration of Python libraries, such as Pandas, NumPy, and Scikit -learn, enables the processing, analysis, and modelling of vast travel-related datasets. By harnessing the power of data-driven decision making, Travelogue empowers users to explore diverse destinations, discover hidden gems, and plan memorable journeys tailored to their unique interests and preferences. This abstract provides an overview of Travelogue's innovative approach, demonstrating its potential to redefine travel package recommendations by amalgamating Python's computational capabilities and machine learning algorithms.

Travel Planner, TSP Algorithm, Optimized Itinerary, FourSquare API, User Centric Approach, Data Driven Decision Making, Diverse Destinations, Personalized Travel, Content-Based Filtering

"Travel Literature Generation BOT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 3, page no.a116-a121, March-2024, Available :http://www.jetir.org/papers/JETIR2403017.pdf

"Travel Literature Generation BOT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 3, page no. ppa116-a121, March-2024, Available at : http://www.jetir.org/papers/JETIR2403017.pdf