# ahamedn2023-gif/cnsr_ai architecture

> Architecture diagram of the GitHub repository ahamedn2023-gif/cnsr_ai, generated by GitDiagram from its file tree, README and a sample of source files (last updated 2026-09-29). It is an AI-made overview: check details against the source.

- Interactive diagram: https://gitdiagram.com/ahamedn2023-gif/cnsr_ai
- Repository: https://github.com/ahamedn2023-gif/cnsr_ai

## Overview

This is a Flask web app for anonymous benign/malignant image classification, with prediction history and a separate model-training workflow. The main path is anonymous login, image upload, preprocessing and inference, saving the prediction, then showing the result. The source also supports browsing prior predictions and logging out. Templates and dataset contents were not sampled, so UI wiring beyond the routes and rendered templates is not detailed.

Main entry points: [`app.py`](https://github.com/ahamedn2023-gif/cnsr_ai/blob/main/app.py) (Flask routes), [`trainmodel.py`](https://github.com/ahamedn2023-gif/cnsr_ai/blob/main/trainmodel.py) (Training workflow), [`model.h5`](https://github.com/ahamedn2023-gif/cnsr_ai/blob/main/model.h5) (Classifier model), [`database.db`](https://github.com/ahamedn2023-gif/cnsr_ai/blob/main/database.db) (Prediction database)

## Diagram (Mermaid)

```mermaid
flowchart TD

subgraph group_web["Web workflow"]
  node_app["Flask routes<br/>[app.py]"]
  node_login["Login page<br/>[login.html]"]
  node_home["Upload page<br/>[index.html]"]
  node_result["Result page<br/>[result.html]"]
  node_history_page["History page<br/>[history.html]"]
  node_script["Upload preview<br/>[script.js]"]
end

subgraph group_prediction["Prediction"]
  node_preprocess["Image preprocessing<br/>[app.py]"]
  node_classifier["Classifier model<br/>[model.h5]"]
  node_uploads[("Uploaded images")]
end

subgraph group_records["Prediction records"]
  node_database[("Prediction database<br/>[database.db]")]
end

subgraph group_training["Model training"]
  node_training_code["Training workflow<br/>[trainmodel.py]"]
  node_dataset[("Image dataset")]
end

node_visitor(("Visitor"))

node_visitor -->|"requests pages"| node_app
node_app -->|"renders"| node_login
node_app -->|"renders"| node_home
node_app -->|"renders result"| node_result
node_app -->|"renders history"| node_history_page
node_app -->|"saves image"| node_uploads
node_app -->|"prepares image"| node_preprocess
node_app -->|"predicts with"| node_classifier
node_app -->|"writes prediction"| node_database
node_app -->|"reads history"| node_database
node_training_code -->|"trains from"| node_dataset
node_training_code -->|"saves model"| node_classifier

click node_app "https://github.com/ahamedn2023-gif/cnsr_ai/blob/main/app.py"
click node_login "https://github.com/ahamedn2023-gif/cnsr_ai/blob/main/templates/login.html"
click node_home "https://github.com/ahamedn2023-gif/cnsr_ai/blob/main/templates/index.html"
click node_result "https://github.com/ahamedn2023-gif/cnsr_ai/blob/main/templates/result.html"
click node_history_page "https://github.com/ahamedn2023-gif/cnsr_ai/blob/main/templates/history.html"
click node_preprocess "https://github.com/ahamedn2023-gif/cnsr_ai/blob/main/app.py"
click node_classifier "https://github.com/ahamedn2023-gif/cnsr_ai/blob/main/model.h5"
click node_uploads "https://github.com/ahamedn2023-gif/cnsr_ai/tree/main/static/uploads"
click node_training_code "https://github.com/ahamedn2023-gif/cnsr_ai/blob/main/trainmodel.py"
click node_dataset "https://github.com/ahamedn2023-gif/cnsr_ai/tree/main/dataset"
click node_database "https://github.com/ahamedn2023-gif/cnsr_ai/blob/main/database.db"
click node_script "https://github.com/ahamedn2023-gif/cnsr_ai/blob/main/static/script.js"

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_app,node_login,node_home,node_result,node_history_page,node_script toneBlue
class node_preprocess,node_classifier,node_uploads toneAmber
class node_database toneMint
class node_training_code,node_dataset toneRose
class node_visitor toneIndigo
```

## Components

### Web workflow

- [Flask routes](https://github.com/ahamedn2023-gif/cnsr_ai/blob/main/app.py): `app.py`
- [Login page](https://github.com/ahamedn2023-gif/cnsr_ai/blob/main/templates/login.html): `templates/login.html`
- [Upload page](https://github.com/ahamedn2023-gif/cnsr_ai/blob/main/templates/index.html): `templates/index.html`
- [Result page](https://github.com/ahamedn2023-gif/cnsr_ai/blob/main/templates/result.html): `templates/result.html`
- [History page](https://github.com/ahamedn2023-gif/cnsr_ai/blob/main/templates/history.html): `templates/history.html`
- [Upload preview](https://github.com/ahamedn2023-gif/cnsr_ai/blob/main/static/script.js): `static/script.js`

### Prediction

- [Image preprocessing](https://github.com/ahamedn2023-gif/cnsr_ai/blob/main/app.py): `app.py`
- [Classifier model](https://github.com/ahamedn2023-gif/cnsr_ai/blob/main/model.h5): `model.h5`
- [Uploaded images](https://github.com/ahamedn2023-gif/cnsr_ai/tree/main/static/uploads): `static/uploads`

### Prediction records

- [Prediction database](https://github.com/ahamedn2023-gif/cnsr_ai/blob/main/database.db): `database.db`

### Model training

- [Training workflow](https://github.com/ahamedn2023-gif/cnsr_ai/blob/main/trainmodel.py): `trainmodel.py`
- [Image dataset](https://github.com/ahamedn2023-gif/cnsr_ai/tree/main/dataset): `dataset`

### Other components

- **Visitor**

## Connections

- Visitor → Flask routes: requests pages
- Flask routes → Login page: renders
- Flask routes → Upload page: renders
- Flask routes → Result page: renders result
- Flask routes → History page: renders history
- Flask routes → Uploaded images: saves image
- Flask routes → Image preprocessing: prepares image
- Flask routes → Classifier model: predicts with
- Flask routes → Prediction database: writes prediction
- Flask routes → Prediction database: reads history
- Training workflow → Image dataset: trains from
- Training workflow → Classifier model: saves model