Skin Cancer Detection using machine learning

Skin-D is a web application that will allow users to check for the remedies of the skin diseases which they may have. The website will recommend remedies accordingly. Now a days it?s hard for people to make time to go to the doctors for daily based checkups. So our system will facilitate the user so

Project Title

Skin Cancer Detection using machine learning

Project Area of Specialization

Computer Science

Project Summary

Skin-D is a web application that will allow users to check for the remedies of the skin diseases which they may have. The website will recommend remedies accordingly. Now a days it’s hard for people to make time to go to the doctors for daily based checkups. So our system will facilitate the user so that he/she won’t have to go out and by taking a short quiz the recommendations will be given to the user so the user can act accordingly.

Our system will help a lot of people. It will be working as a mini doctor for the people who can’t make time to visit the doctor. And the results would be best possible solutions There will be four modules in our system. The first module will be consisting of the research that has already been done on any specific disease. For this, user will search for any disease that is available in the list and the user can read about that disease.

Project Objectives

Skin-D is a consumer web app that uses machine learning to create individual skincare regimens based on a customer’s unique skin type. The data collected is analyzed and compared with the application’s database. Then, machine learning algorithms match the customer’s unique skin profile and suggest a skin care regimen.

The web application will be developed with the help of dermatologists to measure and assess skin conditions such as dark spots, discolorations, dryness, uneven tone, and fine wrinkles. After capturing these images, the web application can simulate positive changes to the user’s skin

Project Implementation Method

• The user must register first.
• The user will register and login. Then user will select from the modules available for the detection purposes.
• If user uses the image processing module, user have to upload the effected area’s image that will be processed to give a report to the user.
• If the quiz-based module is selected, then multiple questions will be asked from the user to identify the disease.
• A research-based option is to help users to read about the symptoms they are having.
• A chatbot will be available to help the user if he needs any guidance.
• The users can arrange online audio/video meetings with screenshare. This is to help them to connect to the doctor if they are willing.
• All the reports and history of the user will be available on the user’s account that can be downloaded or can be emailed.
• The user can edit/delete his account details.

Benefits of the Project

Easy Access:

Users can access the website at home at any time without going to the doctor and it saves the time.

Free of Cost:

Our system will be free of cost. No subscription or doctors fee will be implied on the users.

Best Possible Solutions:

The system will provide the most accurate solutions and remedies as we will use AI for producing the results.

User Self Service:

User can easily tell the system about the disease he/she may have. And without any hesitation and appointment the disease’s remedies and cure will be recommended to the user.

Record of User:

The system will be maintaining the records of the patients and it will help the user to keep record of his previous and upcoming appointments.

Easy Communicate with doctors:

A chat bot will be created that will help the user to connect the doctors to discuss the problems he/she is facing.

Technical Details of Final Deliverable

We will develop our system by using different software process models, but we will prefer to use incremental model.

We will be using the incremental methodology for our project development. As we have different modules in our project so that’s why we will develop each module separately and then after deploying the specific module.

We will move on to other module and working on it after completion we will deploy it and move further, because by using this methodology we will easily complete our project in less time.

Final Deliverable of the Project

Software System

Core Industry

Health

Other Industries

Core Technology

Artificial Intelligence(AI)

Other Technologies

Sustainable Development Goals

No Poverty, Good Health and Well-Being for People, Gender Equality, Partnerships to achieve the Goal

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com