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Apple scholar creates AI-based dating app to facilitate real-life meetups

Prithiv Dev Devendran, a two-time recipient of the Apple scholarship, has introduced IRL AI, an experimental dating app that uses cutting-edge AI technology to convert online interactions into in-person meetings. This endeavor demonstrates the potential of AI in consumer applications. The objective? AI is revolutionizing mental health services!

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Updated: 7/20/2024, 10:15:00 AM

As a testbed for artificial intelligence in consumer applications, a free experimental app is making waves in the heart of New York City, where innovation is as ubiquitous as yellow taxis.

Prithiv Dev Devendran, an iOS programmer, created IRL AI, which uses the dating scene to show how intelligent technology may change digital relationships.

Because of his creative approach to iOS development, Prithiv Dev won the extremely competitive Apple WWDC Student Scholarship Award in both 2015 and 2016, which marked a significant milestone in his career working with artificial intelligence.

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Prithiv Dev remembers that "getting the Apple WWDC Student Scholarship Award was a pivotal moment."

"It was genuinely life-changing to be acknowledged by Apple and granted access to their Worldwide Developers Conference. It exposed me to cutting-edge innovations and creative minds in addition to validating my abilities," he claims.




The origins of IRL AI and its operation

This early accomplishment gave rise to a strong desire to push the limits of technological capability.

"I've always been fascinated by the potential of AI in everyday applications," Prithiv Dev explains. "The dating landscape, with its complex variables and need for real-world interactions, seemed like an intriguing challenge to explore AI's capabilities."

The idea for IRL AI came from conversations with friends—both men and women—who shared their frustrations with dating apps.

"I've always been fascinated by the potential of AI in everyday applications," Prithiv Dev explains. "The dating landscape, with its complex variables and need for real-world interactions, seemed like an intriguing challenge to explore AI's capabilities."

The idea for IRL AI came from conversations with friends—both men and women—who shared their frustrations with dating apps.

"They told me they were getting lots of matches," Prithiv Dev recalls, "but rarely meeting in person. It struck me that an app suggesting date spots and handling the logistics might give people the push they needed to turn online connections into real-life interactions."

An app that suggested locations for dates and took care of the arrangements struck me as potentially providing the motivation people needed to move from virtual to in-person relationships."

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FAQ's

What is IRL AI and who created it?

IRL AI is a free experimental app created by iOS programmer Prithiv Dev Devendran. It aims to use artificial intelligence to transform digital relationships, particularly in the dating scene.

What notable achievements does Prithiv Dev Devendran have in his career?

Prithiv Dev Devendran won the highly competitive Apple WWDC Student Scholarship Award in 2015 and 2016. This recognition by Apple was a significant milestone in his career working with artificial intelligence.

How did the Apple WWDC Student Scholarship Award impact Prithiv Dev's career?

Winning the Apple WWDC Student Scholarship Award was life-changing for Prithiv Dev. It validated his abilities, provided access to Apple's Worldwide Developers Conference, and exposed him to cutting-edge innovations and creative minds.

What inspired the creation of IRL AI?

The inspiration for IRL AI came from conversations with friends who were frustrated with dating apps. They reported getting many matches but rarely meeting in person. Prithiv Dev saw an opportunity to use AI to suggest date spots and handle logistics, helping people turn online connections into real-life interactions.

What does IRL AI aim to achieve in the dating landscape?

IRL AI aims to bridge the gap between online and in-person interactions by using AI to suggest locations for dates and take care of the arrangements. This approach is intended to provide the motivation needed for users to move from virtual matches to real-life meetings.

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