Mind map 

 Name : Monica Carlos     Challenge   Throughout my student life I realized that in my city there is a great misinformation of the   correct way to classify waste at the time of disposal . Through surveys carried out in 2019 , it   was clear that there is a problem of misinformation and this has generated that only 20 % of   the materials that reach the recyclers are really useful . As a final thesis proposal , I have   proposed a mobile application that helps inform the correct way of classifying waste   according to what is managed by the municipality . The challenge is to understand what   should be included in the application to be successful in my environment .     Selection   I carried out interviews and surveys to know in depth the profile of the users , their fears , fears   and challenges ; however , I still could not clearly identify what the application should include .   So , I realized that my ideas were not necessarily the best and that it was possibly not what   the users really wanted . For that reason , I needed the help of potential users by using a mind   map to finally identify a large amount of data that would allow me to establish patterns and   ideas for possible solutions .     Application   I invited around 30 people to generate the mind map , of which only 16 attended , the same   ones , were divided into two segments : university students and workers . Due to the COVID- 19 pandemic , the meeting was developed through video zoom ; The first thing to do was to   explain my proposal to them and that their help was essential in this , since they are the   potential users and that the application will be thought of them , so all the ideas are good .      They were asked to enter a link that redirected them to Google Jamboard . Then , I explained   that a brainstorming would be generated , in which they used the notes and placed their ideas   in them . They were immediately asked the question : what aspects should the application   contain to improve my garbage separation habits ? and they were asked to post their responses   on Jamboard ; this process lasted 20 minutes . Then they were asked to indicate their ideas and   to classify those with similar ideas , to finally assign representative names to them , which   took about 40 minutes .     Insight    The results show that both segments are extremely interested in having 3 similar sections ,   and that the most important ones are not really what I thought . This tool helped me ,   personally , to be able to identify more clearly what the different customer segments really 

 want . To validate these ideas , I conducted a survey in my city and this helped me to more   clearly identify the aspects of greatest interest .     Approach   I believe that when using this tool again , I would not bias the answers with a question as I   did this time . What I would do would be to explain the problem through storytelling and   simply ask them to put their solution ideas , to be able to identify other solutions . However ,   the results were positive , since both segments wanted things in common , thus indicating a   behavioral trend in my city . 


EMAIL: 
ID_NUM: 
NAME_STUDENT: Monica Carlos
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: Mind map 

 Name : Monica Carlos     Challenge   Throughout my student life I realized that in my city there is a great misinformation of the   correct way to classify waste at the time of disposal . Through surveys carried out in 2019 , it   was clear that there is a problem of misinformation and this has generated that only 20 % of   the materials that reach the recyclers are really useful . As a final thesis proposal , I have   proposed a mobile application that helps inform the correct way of classifying waste   according to what is managed by the municipality . The challenge is to understand what   should be included in the application to be successful in my environment .     Selection   I carried out interviews and surveys to know in depth the profile of the users , their fears , fears   and challenges ; however , I still could not clearly identify what the application should include .   So , I realized that my ideas were not necessarily the best and that it was possibly not what   the users really wanted . For that reason , I needed the help of potential users by using a mind   map to finally identify a large amount of data that would allow me to establish patterns and   ideas for possible solutions .     Application   I invited around 30 people to generate the mind map , of which only 16 attended , the same   ones , were divided into two segments : university students and workers . Due to the COVID- 19 pandemic , the meeting was developed through video zoom ; The first thing to do was to   explain my proposal to them and that their help was essential in this , since they are the   potential users and that the application will be thought of them , so all the ideas are good .      They were asked to enter a link that redirected them to Google Jamboard . Then , I explained   that a brainstorming would be generated , in which they used the notes and placed their ideas   in them . They were immediately asked the question : what aspects should the application   contain to improve my garbage separation habits ? and they were asked to post their responses   on Jamboard ; this process lasted 20 minutes . Then they were asked to indicate their ideas and   to classify those with similar ideas , to finally assign representative names to them , which   took about 40 minutes .     Insight    The results show that both segments are extremely interested in having 3 similar sections ,   and that the most important ones are not really what I thought . This tool helped me ,   personally , to be able to identify more clearly what the different customer segments really 

 want . To validate these ideas , I conducted a survey in my city and this helped me to more   clearly identify the aspects of greatest interest .     Approach   I believe that when using this tool again , I would not bias the answers with a question as I   did this time . What I would do would be to explain the problem through storytelling and   simply ask them to put their solution ideas , to be able to identify other solutions . However ,   the results were positive , since both segments wanted things in common , thus indicating a   behavioral trend in my city .
### Output: 