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Home Screen. Contains all the 6 features.
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Login Screen. Contains login option and offline features such as breast scan and mammogram scan.
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Risk Assessment screen. An enhanced version of Gail risk model that has been extended to evaluate global audience based on their country.
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Journal creation screen to take notes after self examination. The user notes down their experiences during self examination in free text.
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Risk Assessment Result screen gives the risk score for next five years and lifetime risk of getting breast cancer.
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Journaling base screen to view list of all journals in a particular month. The journals can also be searched.
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Journal Symptoms alert dialogue. AI based NLP algorithm checks if user is experiencing breast cancer symptoms and alerts user accordingly.
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Take a pic of your breast to scan and detect any visual symptoms of breast cancer is present.
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Based on visual patterns, the AI predicts if you are having breast cancer.
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Upload your mammogram and embedded AI predicts if any cancerous condition is identified.
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The mammogram's inference result is shown, it shows the condition and severity.
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Chat Assistant based on neural network architecture to provide relevant answers to use queries.
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FAQ screen. Read interesting facts about breast cancer and get to know how to best fight against it.
Inspiration
With an estimate of 627,000 women deaths per year, breast cancer is the most common cancer in women. Each year 2.1 million women face cancer. Apart from the physical toils they have to go through emotional and financial turbulence.
Hopefully the recovery rate in the initial stages of breast cancer is 99%. Early detection gives a ray of hope, that's where we come into play.
Early detection of cancer saves lives
As tech savvies, we are in the position to create a solution that would impact people in different corners of the world.
We too can save lives. The way we do it is by providing a solution in the form of an application.
With 3 billion android users globally, an app is all it takes to monitor their wellbeing. Fueled by the AI wave, the potential of an app goes beyond imagination.
What it does
It helps to take better care of yourself and constantly has an eye on you for signs of breast cancer. The AI gives more of a human touch and at the same time keeping you in your comfort zone. It listens to your words and warns you if what you are experiencing is a sign of breast cancer. It sees you and tells you if you have physical signs of a breast cancer. It is smart enough to have a look at your mammograms and infer its result. It tells you where you are in the run for breast cancer by assessing your risk score.
The core features of the mobile app are as follows:
1) Risk assessment:
Enhanced version of Gail algorithm to assess breast cancer risk of users globally. It provides the projected breast cancer risk rate based on user input.
2) Self journaling:
Take notes of breast examination and anomalous events. AI based predictive analysis performed and user will be alerted on any malicious symptom.
3) Breast Scan:
Powered by cognitive image processing processing technique. Use your app to scan your breast for any visual symptoms of breast cancer. The image inferencing is done totally on-premise for your privacy and your image won't be saved on device or sent to server. Post scanning, the image will be converted to a sketch(filters will be applied). This can be saved if the user intends to. The saved sketches will be helpful to track changes in breast over the course of time.
4) Mammogram(Breast X-ray) reviewer:
Select a mammogram image from gallery, the Cognitive AI system incorporated into android will be able to analyze it and give feedback if it is malignant or benign. This feature works on-premise and the mammogram images won't leave the device unless saved.
5) Helper Chatbot:
AI chat assistant that can answer user's doubts about cancer. It also periodically reminds the user to take self breast examination.
6) Guide/FAQ:
Provides information about breast cancer, steps for self examination and latest research breakthroughs.
The offline features(Breast scan and Mammogram scan) helps the app to be used even in remote regions where internet access is limited or doesn't exist.
Current status:
The project is completed and hosted on google play store.
Do check it out: https://play.google.com/store/apps/details?id=com.srm.elc_hackathon
Product demo url: https://www.youtube.com/watch?v=6OZvxaHGRIc
How we built it
Though we can't do great things in such a small time, we can do the small things in a great way. Driven by the core idea to better peoples lives with technology, lot of brainstorming and thought process was put into deciding the features of the app. An agile development model was followed for rapid development of the prototype.
Accomplishments that we are proud of
With breast cancer, it's all about early detection. Coming up with an out of the box idea to scan breast using pattern recognition algorithm and detect symptoms that are physically visible. We have have taken a step to educate the budding generation and harvest their tech zest to encourage them to do what is to be done. Even if the reach is smaller we are talking lives here. It is completely developed with opensource frameworks, so it can reach all scales of the society. Core features work offline, so it can be used in every corner of the earth. At last it is an app that belongs to every women.
What we learned
If we are working on something that we really care about, we don't have to be pushed. The vision pulls us. With a team so focused on providing a solution, it is no more a question of winning or loosing. It's all about using our skill for the greater cause.
What's next for Hope By Your Side
There is always a road to improvement and a person to save. It is all about taking a step towards perfection and apply more recent tech innovation into the app.
Lookout for our upcoming features:
1) Connecting you to the specialist and cancer survivors near you.
2) Forming geo spatial cluster of users and send recommendation to host an event where users are densely populated.
3) Scan and simplify the medical jargons in medical reports that drives us crazy.
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