Check if a name you came across is a made up name, Powered by the massive knowledge of GPT-4, AI comprehends the name and gives it a score with an explanation.

Ok interesting but seems kind of random - what’s the use case here?

@justus_mulli Thanks for the Question 🤯 User registration: You could use the app to check if a user's name is valid during the registration process for your application or website. If the name is determined to be made up, you could prompt the user to provide a different name or ask for additional verification. 🥳 Fraud prevention: If you operate a platform that relies on real names for user accounts, such as a social media site or e-commerce platform, you could use the app to check for fake names that may be used for fraudulent activity. ✅ Content moderation: If your platform allows users to create content that is associated with their name, such as comments or reviews, you could use the app to check for fake names that may be used to post spam or abusive content. 😇 Data analysis: If you collect a large amount of user data that includes names, you could use the app to analyze the distribution of real and fake names in your dataset. This could provide valuable insights into the demographics or behavior of your user base. ⚡️Marketing and advertising: If you operate a marketing or advertising campaign that targets users based on their name, you could use the app to filter out users with fake names or low-quality names that may not be representative of your target audience. The API Access will be out soon, Join Waiting List at https://forms.gle/7TxosHge2qtXJqPVA

How accurate is this? But if it's really somewhat accurate, it's nice, it could help even when you have a serious thing where you want people to strictly use their real names!

I have tried it and it seems somewhat accurate however when I put in a local surname it says it's madeup yet that very one with another given name brings the right result that the surname is not madeup, surnames result should be the same regardless it's that name alone or with another, otherwise great making!

@husseinkizz We have tested this model with over 5000 Full Names over multiple ethnicities. We are at an accuracy of 97% for spam name’s being marked correctly and 89% for real names being marked correctly.

@husseinkizz thanks for your feedback. All our names are a beautiful combination of a first name and surname. Our parents name us very wisely by choosing an accompanying first name with the surname. The model currently checks this beautiful relationship by going in the past and checking the significance of the name. That is why mixing different names with less related surnames takes the Made Up meter up ⬆️

Hm, looks curious. Congrats! Do you already have any partners with real case uses?

@trueslash Thank you for the wishes, we are currently having a waiting list for production API. One of the partners in the waitlist wants to use it for credit underwriting. We look forward to releasing the API Access soon 🚀

Really like the variety of prompts and the option to choose between different categories, as well as the detailed feedback provided after each response. Congratulations on the launch!

Is It Made Up

Is that name Made Up? Let GPT-4 be the judge

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