# katta-chaitu-07/ai_resume_scanner_project architecture

> Architecture diagram of the GitHub repository katta-chaitu-07/ai_resume_scanner_project, 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/katta-chaitu-07/ai_resume_scanner_project
- Repository: https://github.com/katta-chaitu-07/ai_resume_scanner_project

## Overview

This is an early AI resume-scanner prototype: it has a Streamlit landing page and separate command-line practice scripts for extracting PDF text, cleaning it, then parsing sections or extracting contact details and skills. The app does not yet connect users to those processing flows, and the README is empty; job matching is described in the landing-page text but is not implemented in the sampled source.

Main entry points: [`practice/pdf.py`](https://github.com/katta-chaitu-07/ai_resume_scanner_project/blob/main/practice/pdf.py) (Parsing demo), [`practice/contact.py`](https://github.com/katta-chaitu-07/ai_resume_scanner_project/blob/main/practice/contact.py) (Contact demo), [`SRC/pdf_extractor.py`](https://github.com/katta-chaitu-07/ai_resume_scanner_project/blob/main/SRC/pdf_extractor.py) (PDF text extraction), [`APP/app.py`](https://github.com/katta-chaitu-07/ai_resume_scanner_project/blob/main/APP/app.py) (Streamlit page)

## Diagram (Mermaid)

```mermaid
flowchart TD

subgraph group_interface["Interface"]
  node_app["Streamlit page<br/>[app.py]"]
end

subgraph group_processing["Resume processing"]
  node_pdf["PDF text extraction<br/>[pdf_extractor.py]"]
  node_clean["Text cleaning<br/>[text_cleaner.py]"]
  node_sections["Section parsing<br/>[resume_parser.py]"]
  node_information["Info extraction"]
end

subgraph group_examples["Practice workflows"]
  node_pdf_demo["Parsing demo<br/>[pdf.py]"]
  node_contact_demo["Contact demo<br/>[contact.py]"]
end

node_user(("Visitor"))
node_streamlit["Streamlit"]
node_pymupdf["PyMuPDF"]
node_resume["Sample resume<br/>[resume.pdf]"]

node_user -->|"opens"| node_app
node_app -->|"renders with"| node_streamlit
node_pdf_demo -->|"opens"| node_resume
node_pdf_demo -->|"calls"| node_pdf
node_pdf -->|"extracts with"| node_pymupdf
node_pdf_demo -->|"calls"| node_clean
node_pdf_demo -->|"calls"| node_sections
node_contact_demo -->|"calls"| node_pdf
node_contact_demo -->|"calls"| node_clean
node_contact_demo -->|"calls"| node_information

click node_app "https://github.com/katta-chaitu-07/ai_resume_scanner_project/blob/main/APP/app.py"
click node_pdf "https://github.com/katta-chaitu-07/ai_resume_scanner_project/blob/main/SRC/pdf_extractor.py"
click node_clean "https://github.com/katta-chaitu-07/ai_resume_scanner_project/blob/main/SRC/text_cleaner.py"
click node_sections "https://github.com/katta-chaitu-07/ai_resume_scanner_project/blob/main/SRC/resume_parser.py"
click node_information "https://github.com/katta-chaitu-07/ai_resume_scanner_project/blob/main/SRC/information_extractor.py"
click node_pdf_demo "https://github.com/katta-chaitu-07/ai_resume_scanner_project/blob/main/practice/pdf.py"
click node_contact_demo "https://github.com/katta-chaitu-07/ai_resume_scanner_project/blob/main/practice/contact.py"
click node_resume "https://github.com/katta-chaitu-07/ai_resume_scanner_project/blob/main/DATA/resume.pdf"

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 toneBlue
class node_pdf,node_clean,node_sections,node_information toneAmber
class node_pdf_demo,node_contact_demo toneMint
class node_user,node_streamlit,node_pymupdf toneIndigo
class node_resume toneTeal
```

## Components

### Interface

- [Streamlit page](https://github.com/katta-chaitu-07/ai_resume_scanner_project/blob/main/APP/app.py): `APP/app.py`

### Resume processing

- [PDF text extraction](https://github.com/katta-chaitu-07/ai_resume_scanner_project/blob/main/SRC/pdf_extractor.py): `SRC/pdf_extractor.py`
- [Text cleaning](https://github.com/katta-chaitu-07/ai_resume_scanner_project/blob/main/SRC/text_cleaner.py): `SRC/text_cleaner.py`
- [Section parsing](https://github.com/katta-chaitu-07/ai_resume_scanner_project/blob/main/SRC/resume_parser.py): `SRC/resume_parser.py`
- [Info extraction](https://github.com/katta-chaitu-07/ai_resume_scanner_project/blob/main/SRC/information_extractor.py): `SRC/information_extractor.py`

### Practice workflows

- [Parsing demo](https://github.com/katta-chaitu-07/ai_resume_scanner_project/blob/main/practice/pdf.py): `practice/pdf.py`
- [Contact demo](https://github.com/katta-chaitu-07/ai_resume_scanner_project/blob/main/practice/contact.py): `practice/contact.py`

### Other components

- **Visitor**
- **Streamlit**
- **PyMuPDF**
- [Sample resume](https://github.com/katta-chaitu-07/ai_resume_scanner_project/blob/main/DATA/resume.pdf): `DATA/resume.pdf`

## Connections

- Visitor → Streamlit page: opens
- Streamlit page → Streamlit: renders with
- Parsing demo → Sample resume: opens
- Parsing demo → PDF text extraction: calls
- PDF text extraction → PyMuPDF: extracts with
- Parsing demo → Text cleaning: calls
- Parsing demo → Section parsing: calls
- Contact demo → PDF text extraction: calls
- Contact demo → Text cleaning: calls
- Contact demo → Info extraction: calls