# akhil200331/parkinson-disease-prediction-using-xai-and-attention-mechanism architecture

> Architecture diagram of the GitHub repository akhil200331/parkinson-disease-prediction-using-xai-and-attention-mechanism, generated by GitDiagram from its file tree, README and a sample of source files (last updated 2026-09-26). It is an AI-made overview: check details against the source.

- Interactive diagram: https://gitdiagram.com/akhil200331/parkinson-disease-prediction-using-xai-and-attention-mechanism
- Repository: https://github.com/akhil200331/parkinson-disease-prediction-using-xai-and-attention-mechanism

## Overview

This repository presents notebook-based Parkinson disease prediction work, with machine-learning models, DNN models, self-attention, and explainability for both ML and DNN models. The README names these capabilities but provides no source excerpts or details about data inputs, execution order, model outputs, or notebook-to-notebook calls. Accordingly, the graph shows the documented capabilities and the explicitly named explainability relationships, without inferring a runtime workflow.

Main entry points: [`XAI.ipynb`](https://github.com/akhil200331/parkinson-disease-prediction-using-xai-and-attention-mechanism/blob/main/XAI.ipynb) (ML Explainability), [`dnn-parkinson_XAI.ipynb`](https://github.com/akhil200331/parkinson-disease-prediction-using-xai-and-attention-mechanism/blob/main/dnn-parkinson_XAI.ipynb) (DNN Explainability), [`parkinson.ipynb`](https://github.com/akhil200331/parkinson-disease-prediction-using-xai-and-attention-mechanism/blob/main/parkinson.ipynb) (ML Models Part 1), [`dnn-parkinson.ipynb`](https://github.com/akhil200331/parkinson-disease-prediction-using-xai-and-attention-mechanism/blob/main/dnn-parkinson.ipynb) (DNN Models)

## Diagram (Mermaid)

```mermaid
flowchart TD

subgraph group_prediction["Prediction Models"]
  node_ml1["ML Models Part 1<br/>[parkinson.ipynb]"]
  node_ml2["ML Models Part 2<br/>[final.ipynb]"]
  node_dnn["DNN Models"]
end

subgraph group_attention["Attention"]
  node_self_attention["Self-Attention"]
end

subgraph group_explainability["Explainability"]
  node_ml_xai["ML Explainability<br/>[XAI.ipynb]"]
  node_dnn_xai["DNN Explainability"]
end

node_ml_xai -->|"explains ML"| node_ml1
node_dnn_xai -->|"explains DNN"| node_dnn

click node_ml1 "https://github.com/akhil200331/parkinson-disease-prediction-using-xai-and-attention-mechanism/blob/main/parkinson.ipynb"
click node_ml2 "https://github.com/akhil200331/parkinson-disease-prediction-using-xai-and-attention-mechanism/blob/main/final.ipynb"
click node_dnn "https://github.com/akhil200331/parkinson-disease-prediction-using-xai-and-attention-mechanism/blob/main/dnn-parkinson.ipynb"
click node_self_attention "https://github.com/akhil200331/parkinson-disease-prediction-using-xai-and-attention-mechanism/blob/main/Self_attention.ipynb"
click node_ml_xai "https://github.com/akhil200331/parkinson-disease-prediction-using-xai-and-attention-mechanism/blob/main/XAI.ipynb"
click node_dnn_xai "https://github.com/akhil200331/parkinson-disease-prediction-using-xai-and-attention-mechanism/blob/main/dnn-parkinson_XAI.ipynb"

classDef toneNeutral fill:#f8fafc,stroke:#334155,stroke-width:1.5px,color:#0f172a
classDef toneBlue fill:#dbeafe,stroke:#2563eb,stroke-width:1.5px,color:#172554
classDef toneAmber fill:#fef3c7,stroke:#d97706,stroke-width:1.5px,color:#78350f
classDef toneMint fill:#dcfce7,stroke:#16a34a,stroke-width:1.5px,color:#14532d
classDef toneRose fill:#ffe4e6,stroke:#e11d48,stroke-width:1.5px,color:#881337
classDef toneIndigo fill:#e0e7ff,stroke:#4f46e5,stroke-width:1.5px,color:#312e81
classDef toneTeal fill:#ccfbf1,stroke:#0f766e,stroke-width:1.5px,color:#134e4a
class node_ml1,node_ml2,node_dnn toneBlue
class node_self_attention toneAmber
class node_ml_xai,node_dnn_xai toneMint
```

## Components

### Prediction Models

- [ML Models Part 1](https://github.com/akhil200331/parkinson-disease-prediction-using-xai-and-attention-mechanism/blob/main/parkinson.ipynb): `parkinson.ipynb`
- [ML Models Part 2](https://github.com/akhil200331/parkinson-disease-prediction-using-xai-and-attention-mechanism/blob/main/final.ipynb): `final.ipynb`
- [DNN Models](https://github.com/akhil200331/parkinson-disease-prediction-using-xai-and-attention-mechanism/blob/main/dnn-parkinson.ipynb): `dnn-parkinson.ipynb`

### Attention

- [Self-Attention](https://github.com/akhil200331/parkinson-disease-prediction-using-xai-and-attention-mechanism/blob/main/Self_attention.ipynb): `Self_attention.ipynb`

### Explainability

- [ML Explainability](https://github.com/akhil200331/parkinson-disease-prediction-using-xai-and-attention-mechanism/blob/main/XAI.ipynb): `XAI.ipynb`
- [DNN Explainability](https://github.com/akhil200331/parkinson-disease-prediction-using-xai-and-attention-mechanism/blob/main/dnn-parkinson_XAI.ipynb): `dnn-parkinson_XAI.ipynb`

## Connections

- ML Explainability → ML Models Part 1: explains ML
- DNN Explainability → DNN Models: explains DNN