This project builds a diabetes prediction web app using machine learning and the PIMA Indian Diabetes dataset. It predicts the likelihood of diabetes based on factors like glucose levels, BMI, and insulin. The app features a user-friendly interface built with Streamlit for easy access.
Feature Name: Implement Camera Focus for Capturing Test Reports
Description:
To enhance the accuracy of test report captures in our diabetes prediction web app, implement a camera focus feature that automatically adjusts focus based on the image clarity. This will improve the quality of the captured images, leading to better text extraction using OCR.
Acceptance Criteria:
The camera automatically focuses when capturing images, ensuring they are clear for text extraction.
Users receive visual feedback indicating the focus status.
The feature works reliably across different devices and environments.
Feature Name: Implement Camera Focus for Capturing Test Reports
Description:
To enhance the accuracy of test report captures in our diabetes prediction web app, implement a camera focus feature that automatically adjusts focus based on the image clarity. This will improve the quality of the captured images, leading to better text extraction using OCR.
Acceptance Criteria:
The camera automatically focuses when capturing images, ensuring they are clear for text extraction. Users receive visual feedback indicating the focus status. The feature works reliably across different devices and environments.
https://github.com/sumanths012/SymptoSense/blob/56e648d0ec6e982c33278cb2c85bfa9a2f3eb275/streamlit_web_app.py#L72