CHALLENGE     People who travel usually have a higher level of stress the day they do it , in comparison to any other   regular day . They are concerned even days before they do it : are they taking all the personal   belongings that they need with them ? , what do they even need to take with them in the first place ? ,   will they be able to find a good place to stay in their destination ? , and many others factors they have   to give thought about their journey .     Taking this into consideration , our challenge as a technology start - up , is to develop a technological   solution that will help travelers to cease their stress by helping them prepare the things they need   days prior , and give them relevant information and recommendations before , during and after their   travel . The challenge is also competing with big web sites and applications in the market that already   have similar functions , but in a separate way : Google Calendars , Waze , Trip advisor , etc .     SELECTION     Before we start developing ideas during the “ What if ? ” phase , we want to understand as much as we   can about the customer journey . In this case we will use the tool of “ Visualization ” to try to have a   vivid picture about what happens to the potential customer , what goes through their mind and what   emotions they have before , during and after their trip .     APPLICATION     There are many types of people you can encounter at airports and bus stations : young people   listening to music , business persons worried about catching their flight on time to get to their   meetings , parents with kids running around , etc . As stated before , our purpose with the tool is to   capture these experiences to determine in a subsequent phase how our solution can help them .   We started by visiting this places where this fuzz is raw and visible , and what better way to capture   this than by taking pictures .     We send a few people of our team to various airports and bus stations , and surroundings , with   camera on hand , to take photos of different people and situations they could encounter : traffic in   the near streets to the airport , check - in lines before riding the bus or airplane , luggage revision station   – what kind of things people were taking to their trip , waiting areas , people in their seats of the   airplane / bus and reception area in the terminal in their destination .   After , we uploaded this photos in our computers and created a shared digital board where we could   arrange this pictures in groups , first in the different phases of the customer journey ( preparing ,   transporting to the airport / bus station , traveling to their destination , arriving ) , and then into different   kinds of people , experiences and emotions . 

 INSIGHT     This was extremely helpful to further execute and stress analysis and define our “ personas ” :   -We deconstructed and analyzed each of the periods of the customer journey to determine the level   of stress or excitement . It helped us determine which moments were significant to the project .   -We gathered and formalized our findings into “ Personas ” . We built these to communicate our   findings easily . We tried to define the environment and the context of travelers as much as possible   during all of the relevant phases they have to go through : the stress level they were experiencing ,   their emotions ( positive or negative ) , the amount of time they spent in each of these phases , and   what kind of services or attentions they were expecting .     APPROACH     We could have a more complete analysis of the customer journey and what goes through their mind ,   by focusing also on the tool of “ Mind Mapping ” . 


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     People who travel usually have a higher level of stress the day they do it , in comparison to any other   regular day . They are concerned even days before they do it : are they taking all the personal   belongings that they need with them ? , what do they even need to take with them in the first place ? ,   will they be able to find a good place to stay in their destination ? , and many others factors they have   to give thought about their journey .     Taking this into consideration , our challenge as a technology start - up , is to develop a technological   solution that will help travelers to cease their stress by helping them prepare the things they need   days prior , and give them relevant information and recommendations before , during and after their   travel . The challenge is also competing with big web sites and applications in the market that already   have similar functions , but in a separate way : Google Calendars , Waze , Trip advisor , etc .     SELECTION     Before we start developing ideas during the “ What if ? ” phase , we want to understand as much as we   can about the customer journey . In this case we will use the tool of “ Visualization ” to try to have a   vivid picture about what happens to the potential customer , what goes through their mind and what   emotions they have before , during and after their trip .     APPLICATION     There are many types of people you can encounter at airports and bus stations : young people   listening to music , business persons worried about catching their flight on time to get to their   meetings , parents with kids running around , etc . As stated before , our purpose with the tool is to   capture these experiences to determine in a subsequent phase how our solution can help them .   We started by visiting this places where this fuzz is raw and visible , and what better way to capture   this than by taking pictures .     We send a few people of our team to various airports and bus stations , and surroundings , with   camera on hand , to take photos of different people and situations they could encounter : traffic in   the near streets to the airport , check - in lines before riding the bus or airplane , luggage revision station   – what kind of things people were taking to their trip , waiting areas , people in their seats of the   airplane / bus and reception area in the terminal in their destination .   After , we uploaded this photos in our computers and created a shared digital board where we could   arrange this pictures in groups , first in the different phases of the customer journey ( preparing ,   transporting to the airport / bus station , traveling to their destination , arriving ) , and then into different   kinds of people , experiences and emotions . 

 INSIGHT     This was extremely helpful to further execute and stress analysis and define our “ personas ” :   -We deconstructed and analyzed each of the periods of the customer journey to determine the level   of stress or excitement . It helped us determine which moments were significant to the project .   -We gathered and formalized our findings into “ Personas ” . We built these to communicate our   findings easily . We tried to define the environment and the context of travelers as much as possible   during all of the relevant phases they have to go through : the stress level they were experiencing ,   their emotions ( positive or negative ) , the amount of time they spent in each of these phases , and   what kind of services or attentions they were expecting .     APPROACH     We could have a more complete analysis of the customer journey and what goes through their mind ,   by focusing also on the tool of “ Mind Mapping ” .
### Output: 