What is Summer AI?
Summer AI serves as an intelligent audio tour guide application designed to function anywhere globally. It enhances exploration experiences whether users are walking, biking, or driving by providing narrated descriptions of nearby attractions, landmarks, and notable venues. The application automatically identifies and details the most interesting aspects of the local area as users move around.
Leveraging artificial intelligence, Summer AI features multiple AI hosts, each with unique expertise, to deliver engaging narrations. It incorporates augmented reality (AR) capabilities, allowing users to visualize points of interest and events in their surroundings. Additionally, the app offers turn-by-turn navigation, both on a traditional map and via AR, to guide users to selected destinations. Summer AI aims to uncover hidden stories and interesting facts about any location, making exploration more informative and entertaining.
Features
- Millions of Points Of Interest: Discover attractions, landmarks, and venues nearby with AI descriptions.
- Daily Local Events: Provides summaries of daily local events like concerts, markets, and activities.
- Augmented Reality: Visualize landmarks and events in the real world through your phone camera.
- Turn by Turn Navigation: Offers map and AR navigation to points of interest or events.
- Multiple AI Hosts: Features various AI narrators (e.g., history buff, economist) with unique styles.
- Unguided and Unrestricted Exploration: Delivers interesting facts and stories anywhere, even on less traveled routes.
Use Cases
- Exploring new cities or neighborhoods while traveling.
- Discovering local attractions and hidden gems in one's own city.
- Finding daily local events and activities.
- Enhancing walking, biking, or driving tours with informative audio commentary.
- Using augmented reality for interactive sightseeing.
- Getting navigation assistance to points of interest.
Helpful for people in the following professions
Summer AI Uptime Monitor
Average Uptime
100%
Average Response Time
505.5 ms
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