Local Project

The project goals are:- Conduct a comprehensive literature review to understand the existing research and methodologies related to chest X-ray analysis, disease detection, and COVID-19 diagnosis using deep learning algorithms. Define project goals based on the insights gained from the literature review. - Collect a diverse and representative dataset of chest X-ray images, including COVID-19 cases and other chest diseases, ensuring the availability of labeled data for training and evaluation purposes. - Perform exploratory data analysis (EDA) to gain insights into the dataset, understand data distribution, identify potential biases, and inform data preprocessing strategies. - Preprocess the collected data, including tasks such as image resizing, normalization, augmentation, and handling class imbalances, to ensure the data is suitable for training deep learning models. - Discuss and decide on the most appropriate deep learning algorithm or architecture to develop a robust and accurate disease detection model. Consider factors such as model complexity, interpretability, computational requirements, and performance metrics. - Implement and train the chosen deep learning model using the preprocessed data. Optimize the model's hyperparameters and conduct rigorous evaluations to assess its performance, including measures such as accuracy, precision, recall, and F1-score. - Develop a user-friendly web app or mobile app that integrates the trained deep learning model. The application should provide an intuitive interface for uploading chest X-ray images and obtaining disease detection results in real time. - Deploy the developed web app or mobile app to a hosting environment, ensuring scalability, security, and availability for users worldwide. Conduct thorough testing to verify the functionality and performance of the deployed solution. - Provide a comprehensive project overview, documenting the entire development process, including methodologies, challenges faced, and key findings. Summarize the achieved results, showcasing the accuracy and impact of the deep learning model in detecting chest diseases and COVID-19. - Deliver a final presentation highlighting the project's goals, methodology, key findings, and the potential impact on healthcare in the local community and beyond. Engage in knowledge sharing and open discussion to inspire and educate others about the benefits of AI-driven healthcare solutions.