A Tourist Recommendation System

Project Code :TCMAKO39

Objective

The objective of this project is to create a comprehensive travel planning application that utilizes machine learning algorithms to optimize budget allocation and streamline hotel selection processes. The aim is to enhance user experience by providing efficient tools for planning and booking accommodations, while also facilitating effective hotel management for administrators.

Abstract

Our application simplifies travel planning by utilizing machine learning algorithms for budget allocation and hotel selection. Users register, log in, and access a dashboard to calculate central points for travel. Inputting budget, number of travelers, and destinations prompts the application to compute budget allocations for each destination. Users can search for nearby hotels based on specified distances and book accommodations by choosing check-in and check-out dates. Admin features facilitate hotel management, allowing addition, viewing, and monitoring of hotels and bookings. Hotels can log in to review and update booking statuses. This comprehensive platform streamlines the travel process, offering convenience and efficiency for both users and administrators alike.

KEYWORDS: Travel planning, Machine learning algorithms, Budget allocation Hotel selection, User registration, Admin features, booking management.

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.