Apppublic

pratikkrsharma/personal-career-agent

sourceHugging Faceupdated 1y agoView on Hugging Face

0likes

App README

🧑‍💼 Personal Career Agent

A personal AI career chatbot built with Gradio, OpenAI API (via OpenRouter), and Vector Search (RAG). This assistant represents Pratik Sharma and answers career-related questions about his background, skills, projects, and experience. It can also capture leads by detecting when a user wants to get in touch and sending an push notification automatically on my mobile.

🚩 Key Features

✅ Answers questions about Pratik Sharma career, experience, and expertise ✅ Uses Vector Database (RAG) to enrich context with past data ✅ Powered by LLMs via OpenRouter API ✅ Detects potential clients' interest and sends push notifications automatically ✅ Easy-to-use Gradio Chat Interface ✅ Github action to automatically deploy changes to Huggingface Space

🛠 Tech Stack

—Python
—Gradio (Chat Interface)
—OpenRouter / OpenAI API (LLMs)
—Vector Database (Similarity Search)
—SMTP / Gmail (Automated Email Notifications)
—dotenv (Environment Variables)

🔧 Setup & Run

1️⃣ Clone the Repo

bash

git clone https://github.com/pratikkrsharma/personal-career-agent
cd persona-career-agent

2️⃣ Install Dependencies

bash

pip install -r requirements.txt

3️⃣ Set Environment Variables

Create a .env file with the following:

env

OPENROUTER_API_KEY=your_openrouter_api_key_here
RECEIVER_MAIL_ADDRESS=any mail address which will receive mail with user's message
SENDER_MAIL_ADDRESS=gmail address to send user's message
MAIL_PASSWORD=your_gmail_app_password_here

⚠️ Note: For Gmail, you need to use an App Password, not your main account password.

4️⃣ Launch the App

bash

python app.py

With UV:

bash

uv sync

bash

uv run python app.py

It will open a Gradio web UI locally.

📤 How Notifications Work

If the LLM detects a user expressing interest to connect, it sends an email to your configured Gmail with the message details.

Trigger Example:

send notification to pratik that this person with <user email> wants to get in touch with you

The user will then be shown your email and phone number automatically.

📂 Project Structure

├── app.py               # Main app with Gradio UI
├── vectordb.py          # Vector DB setup for context retrieval (RAG)
├── .env                 # API keys & email credentials
├── requirements.txt     # Dependencies
└── README.md            # Project documentation (this file)

🚀 Example Interaction

User: Tell me more about Pratik's background in AI.

Agent: Pratik Sharma has worked as a software engineer, building projects in data pipelines, AI agents, LangGraph, and OpenAI integrations...

✨ Future Enhancements

—Analytics dashboard for tracking user questions
—Deployment as a self hosted website

📧 Contact

If you'd like to collaborate or learn more, feel free to contact: 📧 [mail](mailto:pratikkrsharma@gmail.com)