Duration: June 2021 – May 2022
Technologies: Python, TensorFlow, Flask, Blockchain, WordPress, JavaScript, HTML, CSS

Description: Our final year research project involved developing a web application for detecting COVID-19 infections using chest X-ray images, integrating machine learning, Blockchain, and web development.

We built a WordPress-based site where users could upload chest X-rays to check for potential COVID-19 infections. To enable this functionality, we trained a Convolutional Neural Network (CNN) model in Python using a Kaggle dataset containing over 60,000 chest X-ray images. Our model achieved over 97% accuracy.

We hosted the trained model on Heroku for real-time COVID-19 detection and integrated it into our website using Flask.

To ensure data security, we deployed the website on the Ethereum Blockchain using Polygon, leveraging Blockchain’s transparency and immutability. We also created a dedicated token named “CROWN” for added functionality and security.

As the team leader, I managed the project lifecycle, ensuring timely completion while fostering collaboration and continuous learning.

To view my research project, follow this link.