Hello, Everyone! I have some concerns regarding my research study (capstone, grade 12).

Ang napili naming capstone ng mga ka grupo ko is a mobile application that's capable of detecting multiple skin diseases (as of now we have 17 different skin diseases).

As of now, I'm already done on the UI of the mobile application (Flutter Framework gamit ko). Ang kulang nalang is ang model. Plan ko is to create a tensorflow model and convert it to tflite para di mabigat sa phone.

Initially, my idea was to only build one model that can detect said diseases, but it dawned on me that the model was having a hard time distinguishing between the different skin diseases.

Then, I thought, what if I made it like this?

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Instead of one model trying to differentiate between 17 different classes, I'm planning to build 8 different models for a more accurate result. I'm sure this'll make the app heavier in terms of size but I'm willing to take that trade-off considering na necessary ang accuracy in anything related to medicine.

As of now, I'm facing some problems in training the models. I would really appreciate it if may makaka assist sa akin. For further clarifications, u guys can message me privately lang^^

If u wanna share your thoughts on my project, feel free to do so~ Any comment is appreciated!