When it comes to shopping for clothes many us o us already have an idea of what style we want, what size we wear, what colour we want and so on but finding a good skin care products that fits our skin isn’t always that simple. With literally millions of skin care products on the market it can be overwhelming and daunting task making a choice of a skin care product to include in your daily regimen, not all skin care products are made alike and some are exponentially better for your skin’s health and appearance than others. Very few persons make use of the services of a dermatologist when makin
g choice of skin care products many rely on word of mouth information from friends, family members and other associates while others rely on the social media, product makers and shop assistants for advice, this leaves may individuals confused about making choices for a suitable skin product but opu is here with a solution by creating a suite of trust basd online platforms. Designed to improve the quality, efficiency and use of dermatological data for individuals and professionals, using this platforms can analyze their skin conditions, set improvement goals and make choice of skin products that suites their skin with the help of professionals and Opu’s native intelligence.
NEW POSSIBILITIES WITH OPU
By using ethereum blockchain technology Opu is aimed at meeting the skin care needs of individuals, providing accurate and verified data for dermatologist and assisting manufacturers to develop products that meets customers demand. To meet this aims and objects opu’s platform would comprise of the following services:
· Opu AI- this would be a machine learning technology, that would analyze individual skin based on their images provided and provide treatment solutions. The technology would be able to measure hyperpigmentation, redness, acne, wrinkles and skin tone on a given facial image provided by the user of the platform. There is also a community platform were users can share their skin care experiences.
Opu search: this a real time search platform that would provide treatment solutions to users and would provided recommended products based on their search history and skin conditions.
· Opu connect: this is a data collection engine , were users would be invited to opt into opu data programs were their data would be collected by the opu platform for use by research and skin care companies to enable them produce skin products that meets consumer demands. Individuals that opt into this program are rewarded with opu coin and free products as incentives and would be able to interact with research and skin care companies using the opu app.
· Opu CRM: Opu CRM is a state of the art customer service tool designed to meet the need of customers and professionals. Customers use the tool to give feedbacks and make enquiries. This feedbacks and enquiries is analyzed by skin care experts and used to create treatment plans. It also serve as a record of medical history based on blockchain technology which ensures secure exchange of patient data and provide a secure medium for users to communicate using any device connected to the internet.
Opu using blockchain technology would bring together users of skin care products, dermatologist, treatment centers and skin care producers and would provide solutions to the problems facing the skin care industry.
TOKEN INFORMATION
The native token of the ecosystem is OPU token. This is an etherium based token, an erc20 supported token used on the OPU platform.
ROADMAP
To find our more about the project use the links below:
Website: https://ico.opu.ai
Twitter: https://twitter.com/opulabs
Telegram: https://t.me/opulabs
Medium: https://medium.com/opu-labs
Reddit: https://reddit.com/r/opulabs
Facebook: https://facebook.com/opulabs
Bitcointalk ANN: https://bitcointalk.org/index.php?topic=3373026.0
LinkedIn : https://www.linkedin.com/company/opu-labs-inc
Github: https://github.com/OpuLabs
Authors details
Bitcointalk Username: wapfire
Bitcointalk profile link: https://bitcointalk.org/index.php?action=profile;u=1795123
ETH: 0x4B8818dCCbC9a72c6F3B74549738fbc1F6d41eDb