Budget Travel Companion: A Personalized Trip Planning and Destination Recommendations

Travel arranging can be an onerous project for persons attempting to remain within a budget while ensuring satisfactory participation. The foundation for a low-cost travel companion that uses fake insights and recommendation computations to customize trip planning is presented in this research. The framework provides tailored recommendations for objectives, accommodations, and activities by examining customer preferences, financial constraints, and travel trends. The suggested setup promotes a simplified method of planning important travels while maximizing both cost-effectiveness and customer satisfaction [1]. Preliminary evaluations demonstrate how the technology has the potential to transform low-cost trip planning and enhance the whole travel experience. Index Terms—Travel optimization, artificial intelligence, machine learning, recommendation systems, personalized recommendations, low-cost travel, and trip planning.