Challenge 

 Using the storytelling tool , by using the storytelling tool ; We aimed to attract your attention with a   more creative content . We aimed to " cut " and create a surprise effect for users who showed this   action . 

 Selection 

 For stories , see . We led the " hack " with an animation we made in the design and we prepared a   surprise for the users in this action they do every day . 

 Insight & Approach 

 In order to work with average user behavior , we created an ice effect that spreads over the entire   screen , centered at the most touch point on the right side of the phone book . " Where to go on   winter break ? " In the second story , we prepared an ice effect that spreads from the screen where   they touched it . I used story tolling tolls but visual mind mapping tolls more effective than   storytooling tolls 


EMAIL: 
ID_NUM: 
NAME_STUDENT: 
PHONE_NUM: 
STREET_ADDRESS: 
URL_PERSONAL: 
USERNAME: 

### Task: You are a PII (Personal Identity Information) Detection. Given a essays written by students, you have to identify ONLY the following:
NAME_STUDENT - The full or partial name of a student that is not necessarily the author of the essay. This excludes instructors, authors, and other person names.
EMAIL - A student’s email address.
USERNAME - A student's username on any platform.
ID_NUM - A number or sequence of characters that could be used to identify a student, such as a student ID or a social security number.
PHONE_NUM - A phone number associated with a student.
URL_PERSONAL - A URL that might be used to identify a student.
STREET_ADDRESS - A full or partial street address that is associated with the student, such as their home address.
### Input: Challenge 

 Using the storytelling tool , by using the storytelling tool ; We aimed to attract your attention with a   more creative content . We aimed to " cut " and create a surprise effect for users who showed this   action . 

 Selection 

 For stories , see . We led the " hack " with an animation we made in the design and we prepared a   surprise for the users in this action they do every day . 

 Insight & Approach 

 In order to work with average user behavior , we created an ice effect that spreads over the entire   screen , centered at the most touch point on the right side of the phone book . " Where to go on   winter break ? " In the second story , we prepared an ice effect that spreads from the screen where   they touched it . I used story tolling tolls but visual mind mapping tolls more effective than   storytooling tolls
### Output: 