The Actual Idea under the Attractiveness AI
Often you are wondering, "How hot I am?" or how attractive you are actually!?! This is absolutely natural; we have all asked ourselves the same questions.
However, until Selfie.ai, people had very limited options that helped them in determining their attractiveness. People only had few options, which either responded with random figures or used no software for facial recognition. Although these tests of facial attractiveness were mainly for entertainment and fun purposes, the experience left users wanting something with more accuracy.
Selfie.ai scans its users' photos scanned by the software of facial recognition & compared against one large database of thousands of photos. You will just have to choose and upload a photo first to the "facial Attractiveness Test" that will scan your photo in order to determine your facial features based up on different facial points. Once it is done, you will get a score for your facial attractiveness between one and ten, which will be displayed under your photo.
Recognition of Facial Features
The facial recognition api The facial recognition API is developed by Haystack.ai. This helps in determining the facial features of a person by mapping his/her face. The size and shape of the jaw, mouth, cheekbones, nose, and eyes are some important features that are taken into consideration while determining the facial structure of a person. This software also helps in determining the age of a person based on different features.
There are a number of factors associated with facial attractiveness, which determine the score for facial attractiveness after the facial points of a person is determined. For the eyes of a person, the depth of the eyes and the distance between the two eyes are the important factors. Similarly, in case of the nose, the length and width are taken into account. Other important features include the width and length of the jaw and chin, size of the lips and the cheeks' position.
Deep learning provides a lot of benefits to AI (Artificial Intelligence) algorithms. Basically, it's a process of feeding information into the system of an artificial intelligence & increasing the information in all the databases, which are used for multiple purposes, such as history mapping & helping the system of artificial intelligence in its predictions. For systems of facial recognition, this information will help in evolving the algorithms of artificial intelligence, which help in determining accurate and correct facial points. In the case of Selfie.ai "Facial Attractiveness Test", this information will help in determining an accurate score of facial attractiveness.
New data is fed constantly into the deep learning that uses new and existing data to identify the facial features more accurately and determine the score of facial attractiveness.
Deep learning can help in increasing the accuracy and effectiveness of the process of facial recognition by comparing the latest photos of the face of a person with its database of pictures that have been evaluated previously for the facial attractiveness. Deep learning can also help in improving the Selfie.ai "Facial Attractiveness Test" scores by the comparison of the previous facial properties & the attractiveness scores of their face with latest photos in order to produce one scoring curve of better and accurate attractiveness scores of faces.
The Selfie.ai mobile app provides its users the option of uploading their pictures from their tablets and mobile phones to have the attractiveness of their face scored and calculated. The Selfie.ai mobile app offers its users to rate anonymously the facial attractiveness of other users too under. The scores of a user are fed into the deep learning in order to assist the "Facial Recognition API" determine the curve of attractiveness based on latest trends.
These facial features and facial attractiveness scores are calculated together and compared against a database of other facial features and facial attractiveness scores to determine a current facial attractiveness score. The result is a more accurate facial attractiveness score between 1 and 10, with 1 being low facial attractiveness and 10 being high facial attractiveness, based on the previous and current facial features and facial attractiveness scores.