yash khare

GSoC`20: Período de codificación tres

2020-08-29GSoCMifos Initiativeopen sourceVision PPIandroidcomputer vision

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This is the last blog post of GSoC’20, marking the end of the last coding phase 🎊

During the third phase, I mainly worked on implementing the feature to automatically display what survey option should be filled and imporving the UI/UX of the application.

As I mentioned in my previos blog, during the 2nd phase, I mainly worked on the image labelling part. Once the objects within an image/images are detected, I used the data obtained to provide a user with suggestions as to which survery option would be most suitable. The system can detect whether a house has katcha or pakka outer walls, whether there is a television, a refridgerator, VCR, the number of telephones, etc. A collectio of screenshots of how this looks can be seen below:

After this, I mainly focused on improving the UI/UX of the application. I shifted the application layout from a navigation drawer based layout to a bottom navigation bar based layout. I also improved the layout of all other activites so that they look better. Screenshots showing those changes can be seen below:

Login ScreenBottom Navigation + Enhanced user profile pageBottom Navigation + Enhanced Search Fragment
Client Profile PageImage Analysis ActivityQuestions Fragment

As the last part of my project, I worked on the some of the documentation part of the project. This work includes: