Premature detection of Superficial Spreading Melanoma using machine learning

Project Title

Premature detection of Superficial Spreading Melanoma using machine learning

Project Area of Specialization Artificial IntelligenceProject Summary

Melanoma is the deadliest form of skin cancer. It is a type of cancer that develops from the pigment-containing cells known as melanocytes-mutate and become cancerous. In This app we’ll be detecting the most common type of melanoma that is Superficial spreading melanoma through the image processing.

Project Objectives

Superficial spreading melanoma is a hazardous type of skin cancer that is usually curable if detected early. As the biopsy (diagnosis) of this disease is a bit expensive and time consuming procedure. Therefore, to tackle this issue we will be developing an android application through which we can detect Superficial spreading melanoma through the image processing by using deep neural network algorithm (DNN).

Project Implementation Method

• Development of Superficial Melanoma Detection mobile application using Android Studio, Python and Mongodb.
• Assortment of Datasets from enlightening sites like Kaggle and Google Dataset.
• Training of model with dataset by utilizing Deep Neural Networks (DNN) Algorithm to recognize non-melanoma and superficial melanoma recognition.
• Deployment of prepared neural network model in a mobile application.
• Installing Amazon API in the trained model.
• Testing and verifying the model’s performance in the mobile application.

Benefits of the Project

The project may be able to provide with low cost and no need for overwhelming apparatus. An advantage of early detection of the illness. And a great ease of access for both customer and medical experts.

Technical Details of Final Deliverable

The final technical deliverable of the following project states; the mobile application will be completely capable of detecting superficial spreading melanoma with an adequate percentage. The final technical deliverable report also states to suggest home remedies for the users if superficial spreading melanoma is not detected. The following document states another significant point that the application will consist of a feature that will be able to compare the mark of the disease from it's previous check and also provide reminders to keep a proper check towards it. Consultation of medical experts and oncologists is a vital feature that is available in the application and is a major postulate mentioned in the technical deliverables report of this particular venture.

Final Deliverable of the Project Software SystemCore Industry ITOther Industries Education , Medical , Health Core Technology Artificial Intelligence(AI)Other Technologies OthersSustainable Development Goals Good Health and Well-Being for PeopleRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	6172
Sapphire HD 6950 2 GB	Miscellaneous	1	6172	6172