This project is the final streamlit app developed for Omdena Myanmar Chapter
The project's primary objective is to create an AI-driven healthcare
solution for chest X-ray analysis, disease detection, and COVID-19 diagnosis, utilizing deep learning algorithms.
To begin, an extensive literature review will be conducted, informing the project's goals. A diverse dataset of
chest X-ray images, encompassing COVID-19 cases and other chest diseases, will be collected and preprocessed for
model training. Exploratory data analysis will be performed to reveal insights and potential
biases.
Choosing the most appropriate deep learning algorithm or architecture will be a key step,
considering factors such as complexity, interpretability, and computational requirements. The selected model will
be implemented, trained, and optimized to achieve precise disease detection. Additionally, a user-friendly web or
mobile app will be developed to provide real-time results for uploaded chest X-ray images.
The final
solution will be deployed in a secure, scalable hosting environment. Comprehensive project documentation and a
final presentation will be delivered to showcase results and the solution's potential impact on healthcare.
Knowledge sharing and open discussions about AI-driven healthcare solutions will be encouraged.
To run this locally, you need to have the following dependencies installed:
- Python 3.8 or above
- Streamlit
pip install -r requirements.txtTo start the system, run the following command in your terminal:
streamlit run main.pyOnce the application is running, you can access it through your web browser. Under the models section the user will be asked to upload the chest x-ray image. After providing the required inputs, click the "Predict" button to obtain the predicted diagnosis result.