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---
title: Interviewer Assistant
emoji: 👔
colorFrom: green
colorTo: blue
sdk: docker
app_port: 7860
pinned: false
license: mit
short_description: Agentic AI for Resume Analysis & Interview Prep
---
# 👔 Interviewer Assistant
A **Multi-Agent System** designed to assist HR and technical interviewers by automatically analyzing job descriptions and resumes to generate tailored interview questions and fitness scores.
## 🚀 Features
- **🧠 Multi-Agent Swarm**:
- **Job Analyst**: Extracts key requirements from JDs.
- **Candidate Profiler**: Analyzes resumes for strengths and gaps.
- **Evaluator**: Scores candidates on Technical, Behavioral, and Leadership metrics.
- **Interview Designer**: Generates bespoke interview questions.
- **📄 Input Flexibility**: Accepts raw text for JD and Resume/LinkedIn profile.
- **📊 Structured Evaluation**: Provides a clear score and justification.
## 🛠️ Architecture
```
src/interview-assistant/
├── app.py # Streamlit UI (Orchestrator)
├── teams/ # Team Definitions
│ └── team.py # GroupChat Configuration
├── aagents/ # Agent Definitions
│ ├── job_analyst.py
│ ├── candidate_profiler.py
│ ├── evaluator.py
│ ├── interview_designer.py
│ └── admin.py
└── Dockerfile # Deployment Configuration
```
## 📦 Startup
### Local Run
1. **Install Dependencies**:
```bash
pip install -r src/interviewer-assistant/requirements.txt
```
2. **Run Application**:
```bash
streamlit run src/interviewer-assistant/app.py
```
The app will open at `http://localhost:8501`.
## 🐳 Docker / Deployment
The project is packaged for **Hugging Face Spaces** (Docker SDK).
```bash
# Build
docker build -t interviewer-assistant -f src/interviewer-assistant/Dockerfile .
# Run
docker run -p 7860:7860 interviewer-assistant
```
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