Have You Ever Stumbled Upon a Breathtaking Travel Photo and Instantly Wondered Where It Was and How to Get There?
With 1.3 billion international arrivals in 2023, international travel is poised to exceed pre-pandemic levels and break tourism records in the coming years. Each one of these millions of travelers needs to plan where they’ll stay, what they’ll see, and how they’ll get from place to place. This is where AWS and generative AI can revolutionize the way we plan and prepare for our next adventure.
Amazon Bedrock: The Key to Building Generative AI Applications
Amazon Bedrock is the place to start when building applications that will amaze and inspire your users. Amazon Bedrock is a fully managed service that empowers developers with an uncomplicated solution to build and scale generative AI applications by offering a choice of high-performing foundation models (FMs) from leading companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon through a single API, along with a broad set of capabilities that you need to build generative AI applications with security, privacy, and responsible AI.
Architecture
The following figure shows the architecture of the solution.
The workflow of the solution uses the following steps.
- A user interacts with an AWS Amplify frontend to initiate a trip planning request, either through text or by uploading an image. The user can access and interact with the generated trip itinerary through the frontend application, which includes visualizations on maps powered by Amazon Location Service and Amplify.
- If an image is uploaded, it is stored in Amazon Simple Storage Service (Amazon S3), and a custom AWS Lambda function will use a machine learning model deployed on Amazon SageMaker to analyze the image to extract a list of place names and the similarity score of each place name. It will then return the place name with the highest similarity score. The user’s request is sent to AWS API Gateway, which triggers a Lambda function to interact with Amazon Bedrock using Anthropic’s Claude Instant V1 FM to process the user’s request and generate a natural language response of the place location.
- If the user interacts using text, it will trigger the Amazon Bedrock FM directly, providing the natural language response of the place location.
- Amazon Location Service is integrated to provide precise location (location coordinates) data based on the place name. If the user prompt consists of suggestions such as searching for places of interests (POIs), it will pinpoint these POIs on the map within the chat interface as well.
- A Lambda function combines the generative AI response from Amazon Bedrock with the location data from Amazon Location Service to create a personalized and context-aware trip itinerary.
- The conversation history of the user is stored in Amazon DynamoDB.
Core Benefits of Amazon Bedrock and Amazon Location Service
Amazon Bedrock provides capabilities to build generative AI applications with security, privacy, and responsible AI practices. Being serverless, it allows secure integration and deployment of generative AI capabilities without managing infrastructure.
Amazon Location Service offers cost-effective, high-quality location-based services. It provides geospatial data based on coordinates, enabling accurate mapping, geofencing, and tracking capabilities for various applications. With a single API across multiple providers, it offers seamless integration, flexibility, and efficient application development with built-in health monitoring and AWS service integration.
Key Features
Other currently available search engines often require multiple customer touch points and actions to gather information; this virtual trip planner streamlines the process into a seamless, intuitive experience. With a few clicks, users can access location coordinates, personalized itineraries, and real-time assistance, eliminating the need for cumbersome navigation across various sites and internet tabs. These features are presented in a web UI that was designed as a one-stop solution for our users.
Conclusion
Harnessing the power of generative AI enables this web solution to interpret user queries and dynamically generate personalized travel itineraries. This application offers a user-friendly experience, where users can interact with the system through a chat-based interface providing relevant responses based on context. This application serves as a transformative tool that seamlessly guides users to discover more information about locations and explore additional points of interest. To get started on building your own innovative solutions, explore Amazon Bedrock now and start your journey today.
About the Authors
Yao Cong (YC) Yeo is a Solutions Architect at Amazon Web Services, empowering Singapore’s ISVs and SMBs in their cloud transformation journeys, guiding customers to optimize workloads and maximize their AWS cloud potential.
Loke Jun Kai is an AI/ML Specialist Solutions Architect in AWS. He works on Go-To-Market motions and Strategic Opportunities in the ASEAN Region.
Abhi Fabhian is a Solutions Architect at Amazon Web Services based in Indonesia, providing expert technical guidance on cloud technologies to clients across various sectors in Indonesia.
Tung Cao is a Solutions Architect at Amazon Web Services based in Vietnam, covering Vietnam’s SMB and ISVs on their journey to the cloud, helping them optimize and innovate their business processes.
Siraphop (Fufu) Thaisangsa-nga is a Solutions Architect at Amazon Web Services based in Thailand, dedicated to guiding local businesses through their cloud transformation journeys.
FAQs
Q: What is Amazon Bedrock?
A: Amazon Bedrock is a fully managed service that empowers developers with an uncomplicated solution to build and scale generative AI applications by offering a choice of high-performing foundation models (FMs) from leading companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon through a single API.
Q: What is Amazon Location Service?
A: Amazon Location Service offers cost-effective, high-quality location-based services. It provides geospatial data based on coordinates, enabling accurate mapping, geofencing, and tracking capabilities for various applications.
Q: How does the virtual trip planner work?
A: The virtual trip planner uses a chat-based interface to interact with users, providing relevant responses based on context. It combines the generative AI response from Amazon Bedrock with the location data from Amazon Location Service to create a personalized and context-aware trip itinerary.
Q: What are the key features of the virtual trip planner?
A: The virtual trip planner offers a user-friendly experience, where users can access location coordinates, personalized itineraries, and real-time assistance, eliminating the need for cumbersome navigation across various sites and internet tabs.
