Explorer

Inspiration

The inspiration for Explorer came from the desire to simplify the travel planning process. Many travelers struggle with organizing their trips, balancing preferences, and ensuring they make the most of their time away. We wanted to create an intuitive platform that not only gathers user preferences but also generates personalized itineraries that cater to individual needs.

What it does

Explorer is an AI-powered travel planning application that helps users create personalized itineraries based on their travel preferences. Users input their destination, duration, budget, and purpose of travel, and the app generates a detailed day-by-day itinerary, including activities, dining suggestions, and travel tips. It also gathers additional information to tailor the experience further, ensuring that every trip is unique and enjoyable.

How we built it

We built Explorer using Python and Streamlit for the front-end interface, allowing for a seamless user experience. The application integrates with the Gemini API to generate content and gather detailed travel preferences. We utilized environment variables for secure API key management and implemented session state management in Streamlit to maintain user data throughout the planning process.

Challenges we ran into

One of the main challenges we faced was ensuring that the AI-generated itineraries were not only relevant but also engaging and fun for users. Balancing the need for detailed information with a user-friendly interface required multiple iterations and user testing. Additionally, integrating the AI model with the Streamlit app posed some technical hurdles, particularly in managing user inputs and outputs effectively.

Accomplishments that we're proud of

We are proud of the intuitive design of Explorer, which allows users to easily navigate through the travel planning process. The integration of AI to generate personalized itineraries based on user preferences is a significant accomplishment. We also successfully implemented a feedback loop where users can provide additional information, enhancing the quality of the generated itineraries.

What we learned

Throughout the development of Explorer, we learned the importance of user feedback in shaping the application. Engaging with potential users helped us understand their needs and preferences, leading to a more refined product. We also gained valuable insights into working with AI models and the intricacies of managing user sessions in web applications.

What's next for Explorer

Looking ahead, we plan to enhance Explorer by adding features such as real-time collaboration for group travel planning, integration with booking platforms for flights and accommodations, and the ability to save and share itineraries. We also aim to expand the AI's capabilities to include more diverse travel experiences, catering to various interests and demographics. Our goal is to make Explorer the go-to travel planning tool for adventurers everywhere!

Built With

• genai
• python
• streamlit