A Flutter project that allows the user to diagnose five of the most prevalent skin diseases (Acne and Rosacea, Eczema, Melanoma Skin Cancer Nevi and Moles, Nail Fungus and other Nail Disease, and Psoriasis pictures Lichen Planus and related diseases).
The major goal of the project was to develop a cross-platform skin disease detection mobile application that could identify up to three prevalent skin diseases using deep learning. Our team was able to cover 5 skin illnesses using the DermNet dataset along with the transfer learning approach with ResNet-50 model, achieving a 60 percent accuracy. TensorFlow, a Python package, was used along with several other machine learning libraries, such as NumPy, Keras, and Pandas, which helped in the model's construction.
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