# adityalinkific/ai_interviewer architecture

> Architecture diagram of the GitHub repository adityalinkific/ai_interviewer, generated by GitDiagram from its file tree, README and a sample of source files (last updated 2026-08-10). It is an AI-made overview: check details against the source.

- Interactive diagram: https://gitdiagram.com/adityalinkific/ai_interviewer
- Repository: https://github.com/adityalinkific/ai_interviewer

## Overview

#### Purpose and Scope
The repository is a minimal AI-interviewer project. The README provides only the project name, so application behavior, model providers, storage, and deployment infrastructure are not documented.

#### Primary Entry Point
`ai_interviewer.py` is the likely executable Python application entry point and should be treated as the authoritative location for runtime orchestration, interview flow, and integrations.

- `ai_interviewer.py`

#### Interactive/Exploratory Interface
`ai_interviewer.ipynb` is a Jupyter notebook likely used for interactive development, demonstrations, or experimentation with the interviewer workflow. It is a separate execution environment from the Python script and may duplicate or prototype logic.

- `ai_interviewer.ipynb`

#### Core Workflow Boundary
The repository has a single visible application boundary: Python code accepts or generates interview-related inputs, processes them through its interview logic, and produces responses or interview artifacts. The exact stages—such as question generation, answer evaluation, conversation state, or AI API calls—must be verified inside `ai_interviewer.py`.

- `ai_interviewer.py`
- `ai_interviewer.ipynb`

#### Runtime and Infrastructure
The material runtime is Python; the notebook additionally requires a Jupyter-compatible environment. No dependency manifest, container definition, cloud configuration, database schema, API specification, or deployment configuration is present in the supplied tree.

- `ai_interviewer.py`
- `ai_interviewer.ipynb`

#### External-Service and State Boundaries
No external AI provider, credential mechanism, persistence layer, or network service is identifiable from the README or file tree. Any such dependency is likely embedded directly in `ai_interviewer.py` or notebook cells and should be extracted into explicit configuration and service boundaries if the project is expanded.

- `ai_interviewer.py`
- `README.md`

Main entry points: [`ai_interviewer.py`](https://github.com/adityalinkific/ai_interviewer/blob/main/ai_interviewer.py) (AI Interviewer), [`ai_interviewer.ipynb`](https://github.com/adityalinkific/ai_interviewer/blob/main/ai_interviewer.ipynb) (AI Interviewer Notebook), [`README.md`](https://github.com/adityalinkific/ai_interviewer/blob/main/README.md) (Project README)

## Diagram (Mermaid)

```mermaid
flowchart TD

subgraph group_python["Python Runtime"]
  node_script["AI Interviewer<br/>Python application<br/>[ai_interviewer.py]"]
  node_input["Interview Input<br/>runtime input"]
  node_workflow["Interview Workflow<br/>application logic<br/>[ai_interviewer.py]"]
  node_output["Responses &amp; Artifacts<br/>runtime output"]
end

subgraph group_notebook["Interactive Development"]
  node_notebook["AI Interviewer Notebook<br/>Jupyter notebook"]
  node_jupyter["Jupyter Environment<br/>notebook runtime"]
end

node_readme["Project README<br/>documentation<br/>[README.md]"]

node_input -->|"invokes"| node_script
node_script -->|"orchestrates"| node_workflow
node_workflow -->|"produces"| node_output
node_jupyter -->|"executes"| node_notebook
node_notebook -.->|"explores or prototypes"| node_workflow
node_readme -.->|"names project"| node_script

click node_script "https://github.com/adityalinkific/ai_interviewer/blob/main/ai_interviewer.py"
click node_workflow "https://github.com/adityalinkific/ai_interviewer/blob/main/ai_interviewer.py"
click node_notebook "https://github.com/adityalinkific/ai_interviewer/blob/main/ai_interviewer.ipynb"
click node_readme "https://github.com/adityalinkific/ai_interviewer/blob/main/README.md"

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_script,node_input,node_workflow,node_output toneBlue
class node_notebook,node_jupyter toneAmber
class node_readme toneNeutral
```

## Components

### Python Runtime

- [AI Interviewer](https://github.com/adityalinkific/ai_interviewer/blob/main/ai_interviewer.py): Python application · Authoritative runtime orchestration and interview workflow. · `ai_interviewer.py`
- **Interview Input**: runtime input · Interview-related prompts or answers accepted by the application.
- [Interview Workflow](https://github.com/adityalinkific/ai_interviewer/blob/main/ai_interviewer.py): application logic · Questioning, evaluation, state, and model integration details require verification in the script. · `ai_interviewer.py`
- **Responses & Artifacts**: runtime output

### Interactive Development

- [AI Interviewer Notebook](https://github.com/adityalinkific/ai_interviewer/blob/main/ai_interviewer.ipynb): Jupyter notebook · Interactive experimentation or demonstration environment that may prototype the workflow. · `ai_interviewer.ipynb`
- **Jupyter Environment**: notebook runtime

### Other components

- [Project README](https://github.com/adityalinkific/ai_interviewer/blob/main/README.md): documentation · Contains only the project name; behavior and infrastructure are undocumented. · `README.md`

## Connections

- Interview Input → AI Interviewer: invokes
- AI Interviewer → Interview Workflow: orchestrates
- Interview Workflow → Responses & Artifacts: produces
- Jupyter Environment → AI Interviewer Notebook: executes
- AI Interviewer Notebook → Interview Workflow: explores or prototypes
- Project README → AI Interviewer: names project