Deep learning applications built on neural networks for various business applications.
This API service contains several packages built and hosted independently and finally imported into this project. There are three endpoints
- returns prediction for condition(either normal or pneumonia) of a patient's chest health status
- object identification - returns the name of the image of any of the trained objects as seen during development (glass, cup, spoon, plate, knife, fork)
- returns prediction for condition(either glioma, meningioma, no tumor, or pituitary) of a patient's brain scan outcome
- numpy>=1.20.0,<1.21.0
- python = 3.10
- pandas = 2.2.2
- scikit-learn = 1.4.2
- pydantic = 2.7.0
- strictyaml = 1.7.3
- tensorflow = 2.16.1
- scikeras = 0.13.0
- tensorflow-datasets = 4.9.4
- pillow = 10.3.0
- pydantic-settings = 2.2.1
- fastapi = 0.110.3
- uvicorn = 0.29.0
- loguru = 0.7.2
- python-multipart = 0.0.9
- kitchenware-model-package = 0.0.3
- braintumor-model-package = 0.1.0
- pneumonia_model_package = 0.2.0
Source code link: Github link
Python index packages: