Project Information
- Title: COVID-19 Detector
- Author: Maryam Saeidmehr
- Institute: Isfahan University of Technology (Bachelor's Project)
- Duration: Sept. 2021 - Aug. 2022
- Used Stack:
- - Artificial Neural Network: Python (Keras, matplotlib, numpy, opencv, pandas, scikit-learn, seaborn, tensorflow)
- - Web App front-end: ReactJS
- - Web App back-end: Python-Django
Description
- Implemented a deep convolutional neural network to detect Covid-19 from CT images using Keras and Tensorflow.
- Performed data pre-processing and augmentation using Python.
- Evaluated model performance using metrics such as accuracy, sensitivity, and specificity.
- Deployed model as a web application by using Django REST framework and ReactJS.