Smart Travel Planner Agent

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  smart travel planner web application

Inspiration

Travel planning is often confusing and time-consuming. This project was inspired by the need for a smart assistant that can quickly create itineraries and make travel easier.

What it does

Takes user input (destination, budget, interests, days). Suggests transport, hotels, and attractions. Creates an optimized travel itinerary.

How we built it

We built it using Python, Google Maps API, and a basic recommendation system. The system takes user input (destination, budget, interests), fetches travel and location data, and then generates an optimized itinerary with suggested places, hotels, and routes. A simple web interface (Flask/Streamlit) was used for easy interaction.

Challenges we ran into

Getting real-time data from APIs. Balancing budget, time, and interests. Designing a simple and clear interface.

Accomplishments that we're proud of

Built a working prototype that generates itineraries. Integrated maps and basic recommendation logic. Made a user-friendly interface.

What we learned

How recommendation systems work. How to use APIs and handle real data. Importance of optimization and user experience.

What's next for Smart Travel Planner Agent

Add real-time flight and hotel data. Make it a mobile app. Support multiple languages and smarter recommendations.

Built With

• google-maps
• nlplibraries
• numpy
• opencv
• pandas
• python
• scikit-learn
• sreamlit