Tables at a glance

Table 1

Figures at a glance

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Table 1

Disease	Model	Accuracy
Covid	Decision Trees	96.90%
Tuberculosis	K-Means clustering	Error rate-0.33
COPD	Decision Trees	90.32%
Radiology images(Covid, Pneumonia Tuberculosis)	EfficientNetB0	Train-95.58% Test-86.18%

Table 1: Accuracy Results

FIGURE 1

Figure 1: Causes of Lung Diseases

FIGURE 2

Figure 2: Different Types of Lung Diseases

FIGURE 3

Figure 3: Depicts the detail information of dataset

FIGURE 4

Figure 4: Some Sample pictures of the Image Dataset

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Figure 5: Steps to follow for Building CNN to data

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Figure 6: The concept of Convolutional Neural Network (CNN)

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Figure 7: ReLu Activation Function

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Figure 8: ReLu Activation Function Derivative

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Figure 9: Steps to follow for Building CNN to data

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Figure 10: User Interface of website

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Figure 11: Prediction via Symptoms

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Figure 12: Prediction via Radiology Images

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Figure 13: Heat Map for COPD Dataset model