Everybody hello friends, this article is called OPU Labs project. The goal of the project, dermatologists specializing in the skin, skin care firms and so on. and on this platform everyone is aiming to present the appropriate treatment methods through their own artificial intelligence.
When we look at the world at large today, we see that there is billions of dollars in investment in the field of skin and care. In other words, people attach great importance to skin and care and apply various treatment methods to each skin problem. As such, there are drugs and treatment methods on various brands and prices on the market. Because these medications and treatment methods are not compatible with every human being, they can often be ineffective and in such a case, unnecessary treatment costs arise and we can be serious about causing serious damage to our skin.
Apart from these problems, skin problems are serious problems and because of the fact that people always want to feel beautiful and beautiful, they are a serious investment sector. Because of this, many pharmaceutical companies are alternatively going to the field of skin and doing various studies on this field. But there are platforms and applications in the market where these companies and those who want to be treated in the field of skin can gather and find effective solutions. To solve all these problems, the OPU Labs project is preparing to enter the market in the skin sector. Let's begin by examining whether they will try to make the project, and then start examining the ico process.
The objective of the OPU Labs project is to be a blockhain-based, centerless platform aimed at providing effective and accurate treatment methods by entering personal information if the face is to be searched by artificial intelligence, which is defined as AI, by those who want to be treated through the application they are going to put on the market and find effective solutions. Through this application, it is aimed to present the treatment methods and necessary methods with the information you want and the kind of information you want, as well as the area to be treated, as well as the area to be treated.
The application is aimed at collecting specialists of dermatologists who are in the field of dermatological establishments who offer both cream and treatment methods to the people who are seeking treatment, medicine companies or the skin sector. In this way, it is aimed to prevent unnecessary financial expenditures by providing unnecessary treatment methods for people and organizations. In short, if it is necessary to recover; it is aimed to put forward a project aiming to provide effective solution methods by giving information about the places and parts you seek for the program or adding photographs and also through artificial intelligence. After giving information about the project, let's start examining the ico process somewhat.
The token symbol of the OPU Labs project is designated as OPU. The total suply amount of the project, ie the total number of tokens, was 1 billion 350 million OPUs. It is targeted that 50% of this amount will be sold in ico sales. The project investment is considered both ETH and BTC and the minimum investment amount is determined as 0.10 ETH. While one OPU was set at $ 0.02589 during sales, the actual value of one OPU was set at $ 0.037. The target of the project is SoftCapper, which means that the minimum investment target is 3 million dollars while the target of hardcap capital is 37 million dollars. As of the date I wrote this article, the ico sales of the project are still ongoing and continue to be invested. https://ico.opu.ai/
I would like to wish you a lot of luck in your investment and you will get maximum profit. I leave the website and social platform links at the end of the article so you can review the project.
Website: https://ico.opu.ai/
Twitter: https://twitter.com/opulabs
Facebook: https://www.facebook.com/opulabs
Telegram: https://t.me/opulabs
Medium: https://medium.com/opu-labs
Whitepaper: https://ico.opu.ai/wp-content/uploads/2018/07/OPU-Whitepaper-v3.0.pdf
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