TripCraft

• 

  TripCraft banner.

• 

  TripCraft input area.

• 

  TripCraft processing recommendations based on user input data.

• 

  TripCraft response from user input data.

• 

  TripCraft response.

Inspiration

The frustration of conventional trip planning methods inspired TripCraft, aiming to streamline the process with personalized recommendations.

What it does

TripCraft simplifies trip planning by generating personalized itineraries based on user preferences, leveraging data analytics and machine learning.

How we built it

Built upon Google's Gemini AI framework, TripCraft integrates frontend and backend technologies alongside Google's AI tools. We utilized Python for backend development, incorporating Gemini AI models to analyze user preferences and generate recommendations. The frontend was designed using HTML, CSS, and JavaScript to create an intuitive user interface for seamless interaction.

Challenges we ran into

Integrating Gemini AI into TripCraft posed initial challenges, including understanding the nuances of the framework and optimizing model performance. Overcoming these hurdles required experimentation, collaboration, and fine-tuning of the AI models to ensure accurate and relevant recommendations.

Accomplishments that we're proud of

We're proud to have developed a user-friendly trip planning platform that leverages advanced technologies to deliver personalized recommendations.

What we learned

Developing TripCraft taught us valuable lessons in user experience design, data analysis, and software development.

What's next for TripCraft

Future plans for TripCraft include adding real-time travel alerts, social integration, and expanding the database of destinations and activities. We also aim to collaborate with industry partners for further enhancements.

Built With

• gemini
• google-ai-studio
• google-app-engine
• machine-learning/ai
• open-ended
• python
• social-good