Danny Pereira

Week 7 - User feedback and Testing Few suggestions were received through peer review process of my Student Feedback Analysis app. These suggestions were as follows. 1) Error handling on Signup page : My app did not provide any error message when user try to signup and the system was unable to process signup request. Few of the conditions when such incident arises are a) User select too short password b) user select roll number which already been register with the system.. This suggesion is incorporated in the App by doing ERROR handling while executing SIGNUP request.. 2) Error handling on Login Page : When username and password did not match during login, the app was not displaying this error condition. This condition was resolved by providing "username/ password mismatch" error string on login page. 3) Bug : System was taking feedbak from a user which had already provided feedback. This bug was removed by writing additional code to check whether cu...

Week 8 - Final App Finally its time to complete my App on Student Feedback Analysis System. Thanks to all members of Hasura team  for their kind support in completion of my app. Here are the final screenshot of my App.. Login Screen Screen 1 Screen 2 Screen 3 Apart from these functionalities, provision for signup using Google Captcha was also provided.

Week 6- App Screen 3 (UI + Backend integration) Screenshot of App Screen 3 I had lot of ideas about how to analyse feedback provided by student. I took very simplistic approach to deal with this. I displayed following information on screen 1) Number of students provided feedback 2) Par score for a category 3) Scored achieved by each faculty in each category.. I created a view named feedbackview wherein total score of every faculty based on selected criteria where calculated. This total score acts as measuring scale for them.

Week 5- App Screen 2 (UI + Backend integration) Screenshot of App screen 2 This is the main screen of my App where logged in student will provide feedback of teaching-learning process. On this page, students are allowed to provide feedback of all concerned teaching staff on the scale of 1-poor to 5- excellent. When student submit feedback, system stores this feedback in the database using REST api.