Reflection 

 Challenge : 

 Challenge is related to elevator . We often spend too much time thinking in front of elevator thinking about should we take elevator or stairs to reach destination . In 5 + story buildings , this problem is even more observed . And if elevator has to make opposite direction trip before taking us to our destination , time increases even more . So , we need to think of a solution to help us take decision to choose between elevator or stairs , or just take decision for us . The challenge is Human - centered . Outcomes are unpredictable , as consumers ’ behaviour will be unpredictable . Data available is rather scarce . 

 Selection : 

 The tool I selected was mind mapping as the challenge involves quite complicated relationships between elements . Also , the data collection phase will require questions to be asked to group of people . Appropriate questions to be asked will come out through mind mapping elements . These questions I came up with how much time can you spend waiting for lift , what do they want ( system to take decision for them or provide easy data to decide themselves ) , etc . 

 Application : 

 See attached image of mind mapping diagram . What Is : I used mind mapping tool to decide exact problem statement that is we need to make decisions easier for consumers who use an elevator . What If : In preliminary stage I have 3 options for consumers to choose from which are ready concepts . More options can be thought of by looking at mind map . What wows : With Google form , I will take survey of consumers . They can suggest their own solutions as well . What works : This will be done iteratively after doing above steps . 

 Insight : 

 As I went through first three steps , I came up with more ways to solve problem . Like , maybe we can take decision by just previous data of elevator times taken during that period , or giving consumer approx time that will be taken to reach destination floor and let him decide , etc . By survey with google form survey idea that I came up through mind mapping tool collected more than enough data to train my system in initial phases . 

 Approach : 

 The same data can be collected through journey mapping as well , but it will be quite time consuming . But data collected through journey mapping will be of better quality as it will be directly collected from consumers ’ perspective rather than an observers perspective . But most probably , the system will consist of machine learning , so providing sufficiently enough data to computer can interpolate and generate more data through Machine Learning . So going with mind mapping will be better . 


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: Reflection 

 Challenge : 

 Challenge is related to elevator . We often spend too much time thinking in front of elevator thinking about should we take elevator or stairs to reach destination . In 5 + story buildings , this problem is even more observed . And if elevator has to make opposite direction trip before taking us to our destination , time increases even more . So , we need to think of a solution to help us take decision to choose between elevator or stairs , or just take decision for us . The challenge is Human - centered . Outcomes are unpredictable , as consumers ’ behaviour will be unpredictable . Data available is rather scarce . 

 Selection : 

 The tool I selected was mind mapping as the challenge involves quite complicated relationships between elements . Also , the data collection phase will require questions to be asked to group of people . Appropriate questions to be asked will come out through mind mapping elements . These questions I came up with how much time can you spend waiting for lift , what do they want ( system to take decision for them or provide easy data to decide themselves ) , etc . 

 Application : 

 See attached image of mind mapping diagram . What Is : I used mind mapping tool to decide exact problem statement that is we need to make decisions easier for consumers who use an elevator . What If : In preliminary stage I have 3 options for consumers to choose from which are ready concepts . More options can be thought of by looking at mind map . What wows : With Google form , I will take survey of consumers . They can suggest their own solutions as well . What works : This will be done iteratively after doing above steps . 

 Insight : 

 As I went through first three steps , I came up with more ways to solve problem . Like , maybe we can take decision by just previous data of elevator times taken during that period , or giving consumer approx time that will be taken to reach destination floor and let him decide , etc . By survey with google form survey idea that I came up through mind mapping tool collected more than enough data to train my system in initial phases . 

 Approach : 

 The same data can be collected through journey mapping as well , but it will be quite time consuming . But data collected through journey mapping will be of better quality as it will be directly collected from consumers ’ perspective rather than an observers perspective . But most probably , the system will consist of machine learning , so providing sufficiently enough data to computer can interpolate and generate more data through Machine Learning . So going with mind mapping will be better .
### Output: 