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Стартап

DateDate: 30-05-2019, 06:02

Personal non-material and proprietary rights to the invention belong to the author, and are protected according to the norms of the current legislation.
Moderation of the platform "Innovator" considers it necessary to inform in the beginning of the presentation that this author's idea has a sufficiently high level of future popularization and rapid expansion of the number of users. This will all be described below in the presentation material. It will also be seen from the published material that this social network has no analogues and is designed for long-term financial prospects for future investors.
So, the task that the author of this startup has set himself is to unite people. He found an innovative and original way for this - using clothes and shoes. Based on the fact that a person can not do without, in everyday life, without clothes and shoes, you can already talk about a rapid increase in the number of users!
New users undergo a fairly simple registration and can start using the functionality of this social network. For this, in the first and foremost queue, the user's gadget should be equipped with a main or (and) a front camera. Then there are very simple and clear user actions - a self-shooting or just a photo shooting of clothes and shoes, which will be dressed by the user or already dressed. Also, the firm or brand of used clothes and shoes is indicated and puts it on its page in the social network of self-identification of clothes and footwear "Innovator". Next comes the functional of this startup. It enters this information into its shared database, scans it and provides its user with information where similar scanned parameters are indicated. That is, you can give an elementary example - the user today decided to wear jeans ARMANI, T-shirt POLO and moccasins D & G. He produces a photo of his clothes and shoes, puts it in this social network, indicates his location and, in response, receives results from the functional in the form of full or partial similarity of clothes and shoes he wears with other users. Next, the social network informs both users of the full or partial similarity of their clothes and shoes and invites them to begin or continue to communicate. Exchange of contact data and further appropriate communication, if desired, two already connected by this principle of users, occurs at their already mutual desire.
Also, in the additional functions of the social network, there will be many parameters for expanding the circle of communication on this principle, including direct communication with the store where the purchase was made to repeat a purchase to other users if they liked the product on their users connected with this social network. Delivery of goods and their exchange. Well, much more that the author of this idea has put in his functional.
So, this social network of self-identification of clothes and footwear "Innovator" expands the possibilities of communication not only for its users, but also carries a marketing component in the issue of increasing the promotion and sales of the corresponding product from brands and brands. That is, it clearly shows the combination of social and commercial aspects for the global growth of the future innovative social platform.
This idea is open for both investment and full redemption.
+380505238948

DateDate: 30-05-2019, 05:57

The AI predicts for producers from Hollywood what their box office money will have.
Artificial intelligence and machine learning neural networks are able to predict how popular and profitable a film that is still in production will be. New IT capabilities are already widely used in Hollywood, writes The Verge.
The film genre, script, cast and actors in specific countries are used as input. Then, using algorithms, the computer model calculates the box office, which the film can potentially receive.
 
If there are several variations of the same film - for example, with Emma Watson and Jennifer Lawrence in the main roles, then they can be compared and choose the best option.
“You can compare different versions of a picture individually or compare them in a package. For example, take both scenarios with Emma Watson and Jennifer Lawrence, and see which one for this particular film will bring the best results in different countries,” said the founder Cinelytic Tobias Kaysser.
Of course, there are also disadvantages - some predictions are too obvious, and then the use of expensive programs with AI is simply unnecessary. It is clear without them that a film with Leonardo DiCaprio will increase the picture's chances of great success at the box office.
A new neural network model was able to recreate a person's face by voice
In addition, the predictions are conservative in nature, because the model is trained on previously successful films. You cannot predict anything new or how a completely new actor will affect a film’s success.
But participants in the Hollywood market are confident that the algorithms cope much more accurately than experienced producers. The ScriptBook company notes that out of 50 analyzed films released in 2017-2018, the profitability or failure of the film was predicted correctly in 86% of cases.