Stock Price Predictor and Analyzer – Learning Launch 

 Challenge 

 Stock market is one of the most unpredictable and uncertain markets . It depends on the   multiple factors like natural calamities , pandemic situations , company policy changes , etc .   So , we here are trying to make one tool / platform in which by analysing all the factors with   the help of Machine Learning the price of the stock can be predicted to some extent . Also ,   we will provide the trading options so that investor and    seller can make their trading at the   same platform . We are going to provide different login option for the brokers of the share   market . Also , we are going to try to provide the insurance based on the predicted price by   our tool .       Selection     Our team has already gone through several design thinking activities / tools , so we are ready   to try the learning launch tool . Broadly speaking , the learning launch is an experiment   meant to quickly test an idea and prototype .       Application      For our first learning launch , we focused on the structure / execution of our online Stock   Price Predictor and Analyzer system . In particular , we wanted to build a platform where all   the users can do the trading of the stocks with some guidance by price prediction . The   desired application will be mobile application through which users can trade their stocks .     This tested our assumption that the structure and execution were the main causes of our   workflow challenge . We went through various stock trading system to collect information   about how to arrange data . Next , we went through five workshops to structure our tasks   and processes in a more agile way . These two sessions occurred within in a three - week   timeframe . We expected to produce a document with a clear description of our new , more   agile processes / workflow . For our second learning launch , we focused on gaining clarity   about our tasks and priorities . This tested our assumption that our prioritization of tasks was   the main cause of our workflow challenge . 

 Insight      By applying the learning launch tool , we identified our assumptions and designed launches   to test these assumptions . Additionally , we thought through anticipated results , expecting   to find that a more agile approach would improve our workflow and open to the new   prioritization of tasks or process . But everything came out as we expected .   We were only   concerned about that if user find it safe and easy to use the application and it helps in   reducing risk of the loss . We did survey about this , it turned out with excellent response .       Approach      Given that our team has already gone through several design thinking activities / tools and   are at this stage in the timeline , the learning launch is the appropriate tool . As previously   mentioned , our team needs to review the insight gained from our first two launches and   incorporate this insight into future launch designs . Future launch designs should reflect   insight gained , progress made , and come closer to a compelling solution ready for full   rollout . Our college is also happy with our efforts and mobile application . 


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: Stock Price Predictor and Analyzer – Learning Launch 

 Challenge 

 Stock market is one of the most unpredictable and uncertain markets . It depends on the   multiple factors like natural calamities , pandemic situations , company policy changes , etc .   So , we here are trying to make one tool / platform in which by analysing all the factors with   the help of Machine Learning the price of the stock can be predicted to some extent . Also ,   we will provide the trading options so that investor and    seller can make their trading at the   same platform . We are going to provide different login option for the brokers of the share   market . Also , we are going to try to provide the insurance based on the predicted price by   our tool .       Selection     Our team has already gone through several design thinking activities / tools , so we are ready   to try the learning launch tool . Broadly speaking , the learning launch is an experiment   meant to quickly test an idea and prototype .       Application      For our first learning launch , we focused on the structure / execution of our online Stock   Price Predictor and Analyzer system . In particular , we wanted to build a platform where all   the users can do the trading of the stocks with some guidance by price prediction . The   desired application will be mobile application through which users can trade their stocks .     This tested our assumption that the structure and execution were the main causes of our   workflow challenge . We went through various stock trading system to collect information   about how to arrange data . Next , we went through five workshops to structure our tasks   and processes in a more agile way . These two sessions occurred within in a three - week   timeframe . We expected to produce a document with a clear description of our new , more   agile processes / workflow . For our second learning launch , we focused on gaining clarity   about our tasks and priorities . This tested our assumption that our prioritization of tasks was   the main cause of our workflow challenge . 

 Insight      By applying the learning launch tool , we identified our assumptions and designed launches   to test these assumptions . Additionally , we thought through anticipated results , expecting   to find that a more agile approach would improve our workflow and open to the new   prioritization of tasks or process . But everything came out as we expected .   We were only   concerned about that if user find it safe and easy to use the application and it helps in   reducing risk of the loss . We did survey about this , it turned out with excellent response .       Approach      Given that our team has already gone through several design thinking activities / tools and   are at this stage in the timeline , the learning launch is the appropriate tool . As previously   mentioned , our team needs to review the insight gained from our first two launches and   incorporate this insight into future launch designs . Future launch designs should reflect   insight gained , progress made , and come closer to a compelling solution ready for full   rollout . Our college is also happy with our efforts and mobile application .
### Output: 