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Body Part Selection Pane
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Diagnosis Intake Form
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Accurate Diagnosis
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Customizable Interface
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Source citation and clinic location
Inspiration
Motivated by the unwanted vagueness of describing pain in the exact location and intensity, and a scarce of places aggregating relevant medical resources, Clavicular is born with the sole mission to not only act as a precise medical AI assistant, but also as a resourceful one for needed help.
What it does
Clavicular is a 3D musculoskeletal diagnostic tool. Users can interact with a detailed 3D model to pinpoint exactly where they are feeling discomfort. After selecting the area and describing the pain—such as its intensity and duration—the app analyzes the data to provide a list of possible injuries and immediate next steps or solutions for recovery.
How we built it
We developed a responsive web interface that hosts an interactive 3D skeletal and muscular model. The front end captures user selections from the 3D pane and feeds them into our diagnostic logic. We integrated dropdown menus for symptom specifics like pain quality (throbbing, sharp, dull) and duration to ensure the assessment is as accurate as possible, as well as AI assistance for further clarifications.
Challenges we ran into
The greatest hurdle was implementing an interactive 3D model in Flutter that could dynamically identify and return the name of a specific body part when selected by the user. In addition, there was great difficulty in effectively connecting modules for ease of scalability.
Accomplishments that we're proud of
We are proud of everything we made here. More specifically, we find the rendering of a 3D model with a precise highlighting system particularly brilliant. The intelligence of the AI assistance in correctly identifying anatomical body parts and prescribing appropriate treatments is also well established as a major step in the project.
What we learned
We learned a great deal in software architectural techniques. Each member also obtains great medical knowledge of body anatomy, as well as 3D rendering and AI catering to medical purposes. Most importantly, this was an invaluable opportunity in collaboration, serving as a prelude to effective software engineering.
What's next for Clavicular
We plan to build an even more intelligent model to accurately dispense prescriptions with reliable sources. The major bottleneck is the lack of budget for API and 3D models, which we plan to financially invest in to further augment the application's usability.
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