DocAssist

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  Doc Assist UI

Inspiration

We are inspired by...

What it does

Doc Assist is a physician tool used to help automate and help expedite the patient diagnosis process. The Doc Assist MVP specifically will take information about a users symptoms and imaging records such as chest Xray images to predict the chance of pneumonia.

How we built it

The front end was made with React and MUI to create the checkboxes, text and image uploading fields. Python was used for the backend, for the visualization, preprocessing, data augmentation, and training of the CNN model that predicted the chance of pneumonia based on chest X ray images. Flask was used to connect the front end to the backend.

Challenges we ran into

• Data collection
• Integration of front end components with backend

Accomplishments that we're proud of

• Getting an MVP completed

What's next for DocAssist

• Include capability to diagnose other diseases
• Add ability to insert personal data
• Create more accurate predictions with classification models trained on personal data and symptoms, and add more CNN models to predict diagnosis for other types of imaging other than Xrays

Built With

• flask
• javascript
• python
• react