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YENO LTD

YENO is an app designed for choosing between a paired set of profile pictures within a selected category

YENO is an app designed for choosing between a paired set of profile pictures within a selected category

YENO LTD

by POONAM GIRI
YENO LTD
YENO LTD
YENO LTD

What is it about?

YENO is an app designed for choosing between a paired set of profile pictures within a selected category. YENO has assembled a library of images of leading personalities and categorized these pictures into various categories. Today, the initial categories include Athletes and Politicians. Users are able to select categories that they wish to follow. From these selected categories, users are shown a pair of pictures from within the same category. The user selects one of the pictures and the selection is counted as a positive vote for that picture. For example, a user may prefer Messi over Ronaldo. But what does the overall community think? The user’s choice may align with the popular choice of the community or not. The aggregation of all such positive preferences is stored and aggregated in the backend and the user is shown the popular choice by the community versus his or her selection in the next screen. The user gets to know if his or her choice matches the popular choice or not. The user is then shown the next pair of pictures from within the same category. The user only sees pictures from within the selected categories only.

YENO LTD

App Details

Version
1.0.9
Rating
NA
Size
13Mb
Genre
Last updated
October 30, 2020
Release date
August 21, 2020
More info

App Screenshots

YENO LTD screenshot-0
YENO LTD screenshot-1
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YENO LTD screenshot-4

App Store Description

YENO is an app designed for choosing between a paired set of profile pictures within a selected category. YENO has assembled a library of images of leading personalities and categorized these pictures into various categories. Today, the initial categories include Athletes and Politicians. Users are able to select categories that they wish to follow. From these selected categories, users are shown a pair of pictures from within the same category. The user selects one of the pictures and the selection is counted as a positive vote for that picture. For example, a user may prefer Messi over Ronaldo. But what does the overall community think? The user’s choice may align with the popular choice of the community or not. The aggregation of all such positive preferences is stored and aggregated in the backend and the user is shown the popular choice by the community versus his or her selection in the next screen. The user gets to know if his or her choice matches the popular choice or not. The user is then shown the next pair of pictures from within the same category. The user only sees pictures from within the selected categories only.

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