An AI-powered, voice-enabled personal portfolio app built with Streamlit, OpenAI GPT-4 + TTS, and interactive UI components. This project turns your CV into an engaging chat-style experience — complete with narrated summaries and interactive buttons for exploring each section.

• ✅ Clean, dark-themed Streamlit UI
• ✅ Voice playback (OpenAI TTS-1) for each section and subsection
• ✅ Third-person summaries powered by OpenAI GPT
• ✅ Bullet-point explanations for clear readability
• ✅ Subsection drilldown for Education, Experience, Projects, and Publications
• ✅ Caching to avoid redundant API calls
• ✅ Responsive layout with smart section toggles

portfolio-voice-agent/
│
├── app.py                  # Main Streamlit application
├── cv.json	            # All structured CV content
├── config.yaml             # OpenAI credentials (preferred over .env)
├── requirements.txt        # Python dependencies
└── README.md               # You're reading it!

1. CV is parsed from cv.json
2. User selects a section (like Education or Projects)
3. A third-person summary is generated via OpenAI GPT
4. Text-to-speech audio is generated and auto-plays
5. The user can click into sub-sections to explore more
6. Bullet summaries are shown for all parts

1. Clone the repo

git clone https://github.com/shubbham28/portfolio-voice-agent.git
cd portfolio-voice-agent

2. Install dependencies

pip install -r requirements.txt

3. Set your OpenAI API key using config.yaml

# config.yaml
openai_api_key: your_openai_key_here

4. Run the app

streamlit run app.py

{
  "name": "Shubham Gupta",
  "contact": {
    "email": "[email protected]",
    ...
  },
  "education": [...],
  "experience": [...],
  "projects": [...],
  "publications": [...]
}

• Streamlit
• OpenAI GPT
• OpenAI TTS-1
• Python 3.10+

• 🎨 Improve visual styling and use better graphics/icons for sections
• 📝 Download CV summaries as PDF/audio
• 🗣️ Add voice input to navigate via speech
• 🌐 Add support for multilingual narration

Developed by Shubbham Gupta — a Data Scientist passionate about AI agents, Bayesian modeling, and interactive storytelling with tech.

MIT License — see LICENSE for details.