ML Web-App using Tensorflow and Django.
This project aims to detect whether a person has pneumonia or not by taking an xray image as input. It uses Xception Model for prediction and Django framework for storing and diaplaying records entered by a patient or user.
I was reading about some architectures that have been progressively made over time. Hence I learnt about Xception model. It is an architecture which uses less no of computations that its previous models like Inception because it uses Depthwise Convolutions to reduce the complexity and cost of traditional Convolutions.
Clone the project into your required folder
Create a virtual environment using
python -m venv "your environment name"
cd project (i.e. the folder inside which the django apps reside)
python manage.py runserver
Model: Uses the Xception model trained on chest X-ray images.
Frontend: Built with Django templates using Bulma CSS for styling
Backend: Django framework to handle user records and image predictions.
Contributions are welcome! If you have suggestions or improvements, please open an issue or submit a pull request