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Create a Location-Aware AI Agent with Amazon Bedrock and Foursquare APIs

April 21, 2025•Unknown•Original Link•2 minutes
AI
LocationIntelligence
Personalization

Learn how to integrate Amazon Bedrock Agents with Foursquare APIs to develop a location-aware AI agent that delivers personalized user experiences.

Amazon Web Services (AWS) and Foursquare have teamed up to demonstrate how businesses can leverage Amazon Bedrock Agents and Foursquare Places APIs to create location-aware AI agents. These agents can provide personalized recommendations by integrating user preferences, real-time location data, and weather conditions.

Key Components of the Solution

  • Amazon Bedrock Agents: A serverless feature within Amazon Bedrock that enables the creation of autonomous AI agents. These agents can process user requests, break them into actionable steps, and connect to external APIs like Foursquare and weather services.
  • Foursquare Places APIs: These APIs deliver precise location intelligence, transforming GPS coordinates into contextual business data. Features include:
    • GeoTagging API: Identifies specific places from coordinates (e.g., a coffee shop or park).
    • Place Search & Data APIs: Filters locations by categories, amenities, and real-time popularity.

How It Works

The solution architecture combines:

  1. A Streamlit web interface for user interaction.
  2. Amazon Bedrock Agents to process queries and invoke tools.
  3. Foursquare APIs to fetch nearby points of interest (e.g., parks, restaurants).
  4. A Weather API to factor in environmental conditions.

Architecture Diagram

Example Use Case

A user asks the agent for "a nearby park and a recommended restaurant for takeout." The agent:

  1. Uses Foursquare’s APIs to locate parks.
  2. Retrieves restaurant options near the park.
  3. Displays results via an interactive map.

Park Search Example Restaurant Recommendations

Getting Started

Developers can deploy the open-source solution from GitHub. Prerequisites include:

  • An AWS account.
  • A Foursquare Service API Key (free tier available).

Best Practices

  • Test with a diverse dataset to refine agent responses.
  • Implement guardrails to filter inappropriate inputs (see Amazon Bedrock Guardrails).

Conclusion

This collaboration highlights how generative AI and location intelligence can create hyper-personalized experiences. Businesses in hospitality, retail, or travel could leverage this to enhance customer engagement.

"Agents + location-aware APIs unlock new levels of personalization," says John Baker, Principal SDE at AWS. "It’s about delivering the right recommendation at the right time."

For more details, explore the Amazon Bedrock Agents and Foursquare Places APIs.

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Lenovo earns Frost Sullivan's 2025 Asia-Pacific AI Services Customer Value Leadership Recognition for its value-driven innovation and real-world AI impact.

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Baidu Wenku GenFlow 2.0 Revolutionizes AI Agents with Multi-Agent Architecture

Baidu Wenku's GenFlow 2.0 introduces a multi-agent system for parallel task processing, integrating with Cangzhou OS to enhance efficiency and redefine AI workflows.

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About the Author

Alex Thompson

Alex Thompson

AI Technology Editor

Senior technology editor specializing in AI and machine learning content creation for 8 years. Former technical editor at AI Magazine, now provides technical documentation and content strategy services for multiple AI companies. Excels at transforming complex AI technical concepts into accessible content.

Expertise

Technical Writing
Content Strategy
AI Education
Developer Relations
Experience
8 years
Publications
450+
Credentials
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