Abstract:
Tourism in Pakistan, particularly in cities like Karachi, Lahore, and Islamabad, often
lacks personalized and reliable platforms, leaving lesser known but remarkable
attractions unexplored. This gap arises as most existing platforms prioritize popular
tourist spots without addressing individual traveler preferences or localized needs.
Travel Wise tackles this issue by providing tailored recommendations using advanced
recommendation systems. Content-based filtering compares user preferences against
multidimensional attributes, delivering precise suggestions for attractions and hotels.
Meanwhile, collaborative filtering uncovers patterns in user behavior through
collective preferences, enabling predictive analytics for enhanced recommendations.
Generative AI tools like Chat Groq API enrich the platform by generating detailed,
personalized descriptions for suggested hotels and attractions. Additionally, real-time
weather updates, a Chabot powered by Botpress, and multilingual support for
languages like Urdu, Punjabi, Pashto, and Sindhi enhance user accessibility and
experience. The platform integrates modern technologies: Django REST Framework
for efficient backend operations, React.js for a dynamic and responsive frontend
interface, and SQLite for lightweight yet scalable data storage. By combining these
cutting-edge technologies with advanced algorithms like Random Forest and ALS,
Travel Wise aims to revolutionize travel planning in Pakistan, offering users an
innovative, reliable, and user-friendly platform to explore both hidden gems and
popular destinations seamlessly.
