Capstone_Proposal_Feedback.kevin_liu.txt

Student: Kevin Liu
Status: Did not pass

TOTAL: 6.5/10

Data: 1.5
Use of Specialization (2.0/2.5 points)
Product/Business Impact (3.0/5.0 points)


Need 8/10 to pass

1. Data (1.5/2.5)

* Student talks about how they will access the data (0.5/1.5 points)
Student references dataset location, but does not provide a link

* Data set is clearly defined (1/1 point)
X, Y and Z coordinate of sensors from users doing various activities

2. Use of Specialization (2.0/2.5 points)
* Student clearly outlines the techniques from the course they anticipate using (0.5/1 points)
Tensorflow Keras Nural Network, and other supervised/unsupervised models are suggested, but not specifically. What models? 
How will you leverage the power of tensorflow and the nural net?

* Project is utilizing one of the Specializations showcased in Unit 6 of the curriculum (1.5/1.5 point)
Yes

3. Product/Business Impact (3.0/5.0 points)

* Proposal clearly outlines the problem it’s attempting to solve (1/1 point)
People forget to do things like bush teeth. Student wants to help them remember.

* Student discusses the biggest challenges they anticipate facing in the project (0.5/1 point)
Biggest challange is creating the most effective and efficient model. Use more details to thnink of how this will be a challenge.

* Student shows how the project solution is valuable (1/1 point)
Track good and bad habits. Help identify when we can do good habbits and prevent bad habits.


* Project goals are clearly articulated and achievable (0.5/1 point)
How will this data help people remember to bush their teeth? How will your phone and watch know if you took a shower?

*The proposal talks about the project in terms of a product that end-users can use. (1/1 point)
Talks about creating an app.