Persona

A local, private AI-powered interview coach.

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Jump to Why GPT-OSS:20B
Jump to Project Structure
Jump to Requirements
Jump to Install dependencies
Jump to Important Ollama Setup
Jump to Usage
Jump to Tech Stack
Jump to License
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Try it out Windows Executable

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Live walktrough 👉 Youtube

Overview

Persona is a completely local AI interview coach that helps candidates practice for interviews across any domain.

Unlike online tools, Persona ensures 100% privacy by running fully on your machine. It adapts to your skills, the employer’s requirements, and provides real-time verbal interviews powered by the GPT-OSS:20B model.

Persona also uses Mediapipe + OpenCV to analyze your posture and body language during the session, giving instant feedback and generating detailed reports with:

• 📊 Confidence scoring
• 🗣️ Answer quality
• 🌐 English proficiency
• 🧍 Posture tracking
• 📑 Recruiter insights

Built with Flet, Persona delivers a sleek, minimalist GUI optimized for performance so that system resources are prioritized for the model itself.

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Why GPT-OSS:20B?

Persona is powered by GPT-OSS:20B, chosen specifically for its unique advantages:

• 📏 128K context window → handles long interviews seamlessly.
• ⚡ MXFP4 quantization → reduces memory + compute requirements while maintaining high accuracy.
• 🔀 Mixture-of-Experts architecture → enables blazing-fast inference speeds, even on CPU.

This combination makes Persona fast, private, and reliable — unlike most online interview tools.

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Screenshots

Minimalist landing page with "Get Started" flow.

Live posture tracking and verbal interview interface.

Line graph showing confidence, answer quality, proficiency, and posture.

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Project Structure

Persona/              
├── 08-09, 19-34.json       # Session/experiment logs
├── 08-09, 19-44.json
├── 08-09, 20-48.json
├── 08-09, 22-34.json
│
├── LICENSE                 # License file
├── README.md               # Project documentation
├── requirements.txt        # Python dependencies
│
├── Sylphie_voice.py        # Voice synthesis and processing (Piper TTS)
├── eye_detection.py        # Eye detection / vision-based module
├── hugginface_inference.py # Hugging Face inference integration
├── main.py                 # Main entry point of the project
├── ollama_gpt.py           # Ollama GPT integration module (GPT-OSS:20B)
├── python_pdf_docx.py      # PDF/Docx processing module (CV parsing)
│
├── assets/                 
│   ├── fonts/              # Montserrat-Regular.ttf 
│   └── images/             # App icons, graphics, screenshots
│
├── piper_models/           # Voice models (Piper TTS, default voice included as hfc_female)
└── .gitignore

Requirements

• Python 3.12.7
• Ollama (for GPT-OSS:20B local inference)
• CUDA-compatible GPU (optional, for faster inference)
• Works on Linux / macOS / Windows
• At least 16gb of system RAM

Install dependencies

git clone https://github.com/<your-username>/persona.git
cd persona
python3.12 -m venv venv
source venv/bin/activate   # (or venv\Scripts\activate on Windows)
pip install -r requirements.txt

Ollama Setup

🔴 Note: Persona relies on GPT-OSS:20B running locally via Ollama. Make sure you have the correct Ollama version installed and running.

Install Ollama → Download here

Verify Ollama version

ollama --version

(Recommended: latest stable version)

Pull GPT-OSS:20B model

ollama pull gpt-oss:20b

Start Ollama service (must run in the background)

ollama run gpt-oss:20b

Usage

Start the app

python main.py

On launch:

• Click Get Started.

• Upload your CV (PDF/DOCX) or skip for demo.

• Choose your field of work and role.

• Enter details about yourself and what the employer is looking for.

• Persona begins the mock interview:

• Verbal Q/A in real time with GPT-OSS:20B.

• Faster-Whisper handles speech-to-text.

• Posture analysis runs with Mediapipe + OpenCV.

After interview:

Get detailed analytics with graphs and recruiter-style notes.

Get Persona

💾 Download the fully compiled Windows version of Persona here:

⬇️ Download Persona (.exe)

⚠️ Note: Make sure you have at least 16 GB RAM and Ollama installed for GPT-OSS:20B and active.

Tech Stack

• LLM: GPT-OSS:20B (via Ollama)
• Runner: Ollama (local model hosting)
• STT: Faster-Whisper (small model, GPU-accelerated if available)
• TTS: Piper (default female voice hfc_female)
• GUI: Flet
• Vision: Mediapipe + OpenCV (posture, eye detection)
• Python: 3.12.7

License

Apache 2.0

Author

Developed by Anshul.