Personal AI CV Assistant

An AI-powered personal assistant that answers questions about you — built with React (frontend), FastAPI (backend), and Google Gemini (AI).

Recruiters and visitors can ask anything about your experience, skills, and projects in a natural chat interface.

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Features

• Chat interface powered by Google Gemini AI
• English / Turkish language toggle
• Dark / Light theme toggle
• CV download links (Turkish & English)
• Social media & contact section in a collapsible sidebar
• Optional Telegram logging for each query

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Tech Stack

Layer	Technology
Frontend	React, Vanilla CSS
Backend	FastAPI (Python)
AI	Google Gemini 2.0 Flash via OpenAI-compatible API
Icons	Lucide React

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Getting Started

Prerequisites

• Python 3.9+
• Node.js 18+
• A Google Gemini API key

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1. Clone the repository

git clone https://github.com/YOUR-USERNAME/personal-cv-assistant.git
cd personal-cv-assistant

2. Configure environment variables

Copy the example env file and fill in your keys:

cp .env .env.local

Edit .env:

GEMINI_API_KEY=YOUR_GEMINI_API_KEY_HERE

3. Add your personal data

Edit bilgi.txt with your own information:

• Name, title, education
• Technical skills
• Work experience and projects
• Contact info

4. Install backend dependencies

pip install -r requirements.txt

5. Start the backend

uvicorn main:app --reload

The API will be available at http://127.0.0.1:8000.

6. Install & start the frontend

cd frontend
npm install
npm start

Open http://localhost:3000 in your browser.

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Customization

What	Where
Your info & bio	bilgi.txt
AI personality & name	main.py → system_prompt
Bot name & labels	frontend/src/translations.js
Profile photo	frontend/public/profile.png
CV PDFs	frontend/public/YOUR_CV_TR.pdf, YOUR_CV_EN.pdf
Social & contact links	frontend/src/components/Sidebar.js

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📡 Optional: Telegram Logging

You can receive a Telegram notification for every question asked. To enable:

1. Create a bot via @BotFather and get your token.

2. Get your Chat ID via @userinfobot.

3. Fill in .env:

4. 

TELEGRAM_TOKEN=YOUR_TOKEN
TELEGRAM_CHAT_ID=YOUR_CHAT_ID

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Project Structure

personal-cv-assistant/
├── bilgi.txt # Your personal data (AI's knowledge base)
├── main.py # FastAPI backend
├── requirements.txt # Python dependencies
├── .env # API keys (never commit this)
└── frontend/
├── public/
│ ├── profile.png # Your profile photo
│ └── *.pdf # Your CV files
└── src/
├── App.js
├── translations.js
└── components/
├── Sidebar.js
└── ChatArea.js

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📄 License

MIT License — feel free to fork and adapt for your own use.