Spelling Bee Ninja vs WeRela

Do you want to win the upcoming Spelling Bee? Welcome to the Most Advanced Spelling Bee Training System.

Spelling Bee Ninja (SBN) app evolves every child or student into a spelling bee master, leveraging machine learning to aid K12 and ESL students in improving spelling skills.
Embedded with advanced tools, a smart trainer and official tests that drastically improves anyone’s spelling performance.
Come visit us and get free access to valuable spelling resources such as online tests, smart words lists, printable flash cards, online spelling tournaments, a state of the art text to speech app to verify your preparation and much more.
Thousands of schools worldwide are using our app as a must use free resource for their students.

Location: San Francisco, United States

Meet new friends with common interests

The main purpose of WeRela is to socialize and report users, but unlike the social networks that we are accustomed to using, makes sure that people can actually meet. Through the geolocation system you can see the people who use the app around your position. This will make it possible to view the individual profile and see if you have common interests, or in any case can be born a true friendship off-line. Not only that, WeRela, through information provided by the user, is able to calculate the percentage of affinity between people, so that you have at a glance the probability that friendship, or relationship, have good results. But that's not all. Everyone has his favorite spots that often frequents (gym, pub, library) .Each user can mark as favorite the place that habitually attends and the person who opens a user's profile can see if it will meet in places that also he attended. Finally you will be able to see the friendships / relationships of a user and, using a crossover system, refer to the percentage of affinity between the user and his relationship, and between itself and user relationships displayed. In this way you can decide whether to request the contact of a user report, for example, if the percentage of affinity is very high.