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2nd-runner-up project in UMHackathon 2023 ObGyn domain

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pregnancy_app

Import the entire file into your IDE/VS CODE. Launch the Android Emulator and debug your code. Wait for the Flutter application to load on the emulator and access the dashboard. Use the three functionalities: Diabetes, Mode of Delivery, and Health Risk. Run the respective Python Flask backend file located in /backend. Make sure to modify the URL link in your Flutter code (health_risk.dart, diabetes.dart, mode_delivery.dart) to match the one provided by Python Flask. Click submit to see the model's prediction.

Extra: Run the python flask backend code(.py) and an IP address will be given (paste it in line url code in .dart file with same port)

References

  1. Health Risk Dataset - https://www.kaggle.com/datasets/csafrit2/maternal-health-risk-data
  2. Gestational Diabetes Dataset - https://www.kaggle.com/datasets/sumathisanthosh/gestational-diabetes-mellitus-gdm-data-set
  3. Food Nutrition Dataset - https://www.kaggle.com/datasets/shrutisaxena/food-nutrition-dataset

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2nd-runner-up project in UMHackathon 2023 ObGyn domain

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