Closed aaradhyasinghgaur closed 2 weeks ago
Thank you for creating this issue! We'll look into it as soon as possible. Your contributions are highly appreciated! 😊
Assigned @aaradhyasinghgaur
Hello @aaradhyasinghgaur! Your issue #755 has been closed. Thank you for your contribution!
Deep Learning Simplified Repository (Proposing new issue)
:red_circle: Project Title : Chest X-ray - 13 Diseases Prediction :red_circle: Aim : To predict and classify between Normal x-ray and tuberculosis diseases using chest X-ray images, a convolutional neural network (CNN) can be employed. This deep learning model will process the X-ray images to identify characteristic features and patterns indicative of each disease. The trained model will output a probability score for each disease, allowing for accurate and efficient diagnosis based on the visual data contained in the chest X-rays. :red_circle: Dataset : https://www.kaggle.com/datasets/tawsifurrahman/tuberculosis-tb-chest-xray-dataset :red_circle: Approach : Try to use 3-4 algorithms to implement the models and compare all the algorithms to find out the best fitted algorithm for the model by checking the accuracy scores. Also do not forget to do a exploratory data analysis before creating any model.
📍 Follow the Guidelines to Contribute in the Project :
requirements.txt
- This file will contain the required packages/libraries to run the project in other machines.Model
folder, theREADME.md
file must be filled up properly, with proper visualizations and conclusions.:red_circle::yellow_circle: Points to Note :
:white_check_mark: To be Mentioned while taking the issue :
Happy Contributing 🚀
All the best. Enjoy your open source journey ahead. 😎