How-To

How to Use ChatGPT to Find Soulmate on Tinder

ChatGPT turns a matchmaker for a Russian man Zhadan on Tinder. Check here how he used FlutterFlow APIs which help find the perfect girl. Zhadan shared his story in an extensive X thread narrating how he made ChatGPT’s algorithm fit his needs. In the end, he met Karina after 5000 Tinder profile matches.

The ever-evolving ChatGPT usage seems to reach new heights in the coming days. This Generative Artificial Intelligence chatbot is nothing like a miracle for Alexander Zhadan, a Russian man who finds his  ‘perfect soulmate’ after scanning 5000 profiles on Tinder (a dating app). 

The case study on How ‘ChatGPT turns matchmaker for a Russian man and matches him with 5000 women on Tinder to find the perfect one’ is one of the best examples of how you can leverage the potential of AI. 

Alexander Zhadan took the help of ChatGPT to find the perfect partner for him, and the AI bot matched him with more than 5000 women on Tinder. And finally, with a series of prompts and commands, ChatGPT eventually narrowed it down to one woman. 

Must Check: 21 Best AI Chatbots 2024: ChatGPT and Its Alternatives

Zhadan shared his story on X and said that he had been using ChatGPT for the past year to communicate with a girl online, whom he proposed to later. Based on his chat history, ChatGPT re-communicated with 5239 girls, whom it eliminated from its system and left only one, which it thinks could be the perfect match for Zhadan. 

Zhadan, a software developer, came out of a two-year relationship in 2021 and wanted someone new to share his emotions with. He tried Tinder and even went on a few dates with women from Moscow and St. Petersburg, but due to certain “characteristics,” like drinking a lot and emotional swings, he couldn’t match up his feelings with any of the women.

How to use ChatGPT to find your Love with FlutterFlow APIs

According to Zhadan, at first, there were challenges as the system was not acquainted with his way of speaking and would produce immature responses. Therefore, he developed an AI chatbot to communicate all the desired messages through the computation of multiple prompts and commands.

Over time, he managed to train the AI Chat Love Bot to communicate with women in a manner that reflected his speech patterns. The artificial intelligence bot successfully filtered out incorrect matches before finally settling on his wife, Karina.

Zhadan also made a set of rules for ChatGPT when scanning through Tinder profiles of women. He shared, “I made a filter to filter out girls using the ChatGPT and FlutterFlow APIs” profiles with less than 2 photos, with written zodiac signs, and profiles without a questionnaire. This eventually narrows down his search to one person in the end.” Here you can download the technical documents on how to embed FlutterFlow APIs

How to use ChatGPT and FlutterFlow APIs to Find Your Love on Tinder

Zhadan said he chose this way to find a partner because “finding a loved one is very difficult.”. “I want to have time to work, do hobbies, study, and communicate with people. I could go this route myself without ChatGPT, it’s just much longer and more expensive,” he said.

“I never revealed my speaking style to ChatGPT,” Zhadan said. At first, there were challenges as the system was not acquainted with his way of speaking and would produce immature responses.

Also Read: Apple Generative AI Features in iPhone and Mac in 2024, says Tim Cook

But over time, he managed to train the bot to communicate with women in a manner that reflected his speech patterns. The artificial intelligence bot successfully filtered out incorrect matches before finally settling on his wife, Karina.

The responses generated by ChatGPT were organic, and Karina never realized that initially she had been talking to an AI bot, as per reports. Zhadan eventually told the truth to Karina, to which she reacted calmly. 

This post was last modified on February 6, 2024 10:23 pm

Françoise

Francoise Hardy, A digital content creator and tech integration specialist with over 10 years of experience, is known for his deep knowledge in AI, ML, Data Science, Robotics, and Neural Networks. He began his career with a passion for emerging technologies, leading to innovative solutions and digital transformation in various businesses. Francoise's expertise extends to the ethical aspects of technology, advocating for responsible usage. Recognized by his peers, he is a sought-after speaker and writer in the tech industry. His commitment to advancing technology for societal benefit defines his career.

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