Implementing a deep learning framework for the detection and classification of lung diseases using chest X-ray datasets using PYTHON

I am looking for a skilled developer to implement a deep learning framework for the detection and classification of lung diseases using chest X-ray datasets. The preferred framework for this project is TensorFlow and can use any recent CNN based hybrid models. Dataset: - The client does not have a specific X-ray dataset and requires assistance in finding a suitable one. Classification Model: - The desired accuracy for the classification model is more than 95% with other paramters like f1 score, recall, precision along with suitable graphs and plots. Skills and Experience: - Strong proficiency in Python is required. - In-depth knowledge and experience in implementing deep learning frameworks, specifically TensorFlow and libraries. - Familiarity with working with chest X-ray datasets and medical imaging is preferred. - Understanding of image classification and deep learning algorithms. - Ability to preprocess and analyze large datasets. - Experience in fine-tuning neural networks for optimal performance. - Knowledge of techniques for improving model accuracy. - Strong problem-solving and debugging skills.