# kareemmas3ud/chebyshev-ai-matcher architecture

> Architecture diagram of the GitHub repository kareemmas3ud/chebyshev-ai-matcher, generated by GitDiagram from its file tree, README and a sample of source files (last updated 2026-09-25). It is an AI-made overview: check details against the source.

- Interactive diagram: https://gitdiagram.com/kareemmas3ud/chebyshev-ai-matcher
- Repository: https://github.com/kareemmas3ud/chebyshev-ai-matcher

## Overview

This project generates Chebyshev transformer training data, trains an MLP to predict section impedances, and provides a Streamlit interface for user inputs, predictions, theoretical comparison, and frequency-response visualization. The README documents MATLAB dataset generation; the sampled app source shows it trains its own model from the Al Model spreadsheet rather than loading a model produced by train_model.py. The available evidence does not establish how the two spreadsheet copies are synchronized.

Main entry points: [`Al Model/app.py`](https://github.com/kareemmas3ud/chebyshev-ai-matcher/blob/main/Al%20Model/app.py) (Streamlit Interface), [`MatLab Code/chebychev_Transformer.m`](https://github.com/kareemmas3ud/chebyshev-ai-matcher/blob/main/MatLab%20Code/chebychev_Transformer.m) (Dataset Generator), [`Al Model/train_model.py`](https://github.com/kareemmas3ud/chebyshev-ai-matcher/blob/main/Al%20Model/train_model.py) (CLI Model Training)

## Diagram (Mermaid)

```mermaid
flowchart TD

subgraph group_data["Dataset Generation"]
  node_matlab_generator["Dataset Generator"]
  node_matlab_dataset["Generated Dataset"]
  node_app_dataset["Training Dataset"]
end

subgraph group_learning["Model Training"]
  node_cli_training["CLI Model Training<br/>[train_model.py]"]
  node_app_training["In-App Training<br/>[app.py]"]
  node_ai_prediction["Impedance Prediction<br/>[app.py]"]
end

subgraph group_application["Design Application"]
  node_streamlit_app["Streamlit Interface<br/>[app.py]"]
  node_design_inputs["Design Parameters<br/>[app.py]"]
end

subgraph group_analysis["Validation and Analysis"]
  node_theory_calculation["Theory Calculation<br/>[app.py]"]
  node_error_comparison["Error Comparison<br/>[app.py]"]
  node_frequency_plot["Frequency Response<br/>[app.py]"]
end

node_engineer(("Design User"))

node_matlab_generator -->|"writes"| node_matlab_dataset
node_app_dataset -->|"loads"| node_cli_training
node_app_dataset -->|"loads"| node_app_training
node_engineer -->|"uses"| node_streamlit_app
node_streamlit_app -->|"collects"| node_design_inputs
node_streamlit_app -->|"trains"| node_app_training
node_streamlit_app -->|"predicts"| node_ai_prediction
node_design_inputs -->|"provides inputs"| node_ai_prediction
node_design_inputs -->|"provides inputs"| node_theory_calculation
node_ai_prediction -->|"compares"| node_error_comparison
node_theory_calculation -->|"compares"| node_error_comparison
node_streamlit_app -->|"plots"| node_frequency_plot
node_design_inputs -->|"provides load"| node_frequency_plot
node_theory_calculation -->|"provides constant"| node_frequency_plot

click node_matlab_generator "https://github.com/kareemmas3ud/chebyshev-ai-matcher/blob/main/MatLab%20Code/chebychev_Transformer.m"
click node_cli_training "https://github.com/kareemmas3ud/chebyshev-ai-matcher/blob/main/Al%20Model/train_model.py"
click node_streamlit_app "https://github.com/kareemmas3ud/chebyshev-ai-matcher/blob/main/Al%20Model/app.py"
click node_app_training "https://github.com/kareemmas3ud/chebyshev-ai-matcher/blob/main/Al%20Model/app.py"
click node_ai_prediction "https://github.com/kareemmas3ud/chebyshev-ai-matcher/blob/main/Al%20Model/app.py"
click node_design_inputs "https://github.com/kareemmas3ud/chebyshev-ai-matcher/blob/main/Al%20Model/app.py"
click node_theory_calculation "https://github.com/kareemmas3ud/chebyshev-ai-matcher/blob/main/Al%20Model/app.py"
click node_error_comparison "https://github.com/kareemmas3ud/chebyshev-ai-matcher/blob/main/Al%20Model/app.py"
click node_frequency_plot "https://github.com/kareemmas3ud/chebyshev-ai-matcher/blob/main/Al%20Model/app.py"

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_matlab_generator,node_matlab_dataset,node_app_dataset,node_engineer toneBlue
class node_cli_training,node_app_training,node_ai_prediction toneAmber
class node_streamlit_app,node_design_inputs toneMint
class node_theory_calculation,node_error_comparison,node_frequency_plot toneRose
```

## Components

### Dataset Generation

- [Dataset Generator](https://github.com/kareemmas3ud/chebyshev-ai-matcher/blob/main/MatLab%20Code/chebychev_Transformer.m): `MatLab Code/chebychev_Transformer.m`
- **Generated Dataset**
- **Training Dataset**

### Model Training

- [CLI Model Training](https://github.com/kareemmas3ud/chebyshev-ai-matcher/blob/main/Al%20Model/train_model.py): `Al Model/train_model.py`
- [In-App Training](https://github.com/kareemmas3ud/chebyshev-ai-matcher/blob/main/Al%20Model/app.py): `Al Model/app.py`
- [Impedance Prediction](https://github.com/kareemmas3ud/chebyshev-ai-matcher/blob/main/Al%20Model/app.py): `Al Model/app.py`

### Design Application

- [Streamlit Interface](https://github.com/kareemmas3ud/chebyshev-ai-matcher/blob/main/Al%20Model/app.py): `Al Model/app.py`
- [Design Parameters](https://github.com/kareemmas3ud/chebyshev-ai-matcher/blob/main/Al%20Model/app.py): `Al Model/app.py`

### Validation and Analysis

- [Theory Calculation](https://github.com/kareemmas3ud/chebyshev-ai-matcher/blob/main/Al%20Model/app.py): `Al Model/app.py`
- [Error Comparison](https://github.com/kareemmas3ud/chebyshev-ai-matcher/blob/main/Al%20Model/app.py): `Al Model/app.py`
- [Frequency Response](https://github.com/kareemmas3ud/chebyshev-ai-matcher/blob/main/Al%20Model/app.py): `Al Model/app.py`

### Other components

- **Design User**

## Connections

- Dataset Generator → Generated Dataset: writes
- Training Dataset → CLI Model Training: loads
- Training Dataset → In-App Training: loads
- Design User → Streamlit Interface: uses
- Streamlit Interface → Design Parameters: collects
- Streamlit Interface → In-App Training: trains
- Streamlit Interface → Impedance Prediction: predicts
- Design Parameters → Impedance Prediction: provides inputs
- Design Parameters → Theory Calculation: provides inputs
- Impedance Prediction → Error Comparison: compares
- Theory Calculation → Error Comparison: compares
- Streamlit Interface → Frequency Response: plots
- Design Parameters → Frequency Response: provides load
- Theory Calculation → Frequency Response: provides constant