LangChain Career Guidance Chatbot 🎓

A career guidance chatbot built with LangChain, LangGraph, and Google Gemini API. It provides personalized career advice, skill recommendations, growth strategies, and online course suggestions.

✨ Features

• Personalized Advice: The bot provides tailored guidance based on user input.
• Intelligent Memory: It uses a stateful approach with LangGraph to maintain conversation history and user context.
• Skill Recommendations: It suggests relevant technical and soft skills to learn.
• Course Suggestions: The bot recommends popular online courses from platforms like Coursera, Udemy, and edX.

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🚀 Getting Started

Prerequisites

• Python 3.9+
• A Google Gemini API Key

1. Clone the Repository

git clone https://github.com/gaurav-daware/langchain-career-guidance-chatbot.git
cd langchain-career-guidance-chatbot

2. Set Up Your Environment

The requirements.txt file ensures all dependencies are installed.

pip install -r requirements.txt

3. Add Your Google Gemini API Key

You can set your API key as an environment variable, which is a secure way to handle secrets.

On macOS/Linux:

export GOOGLE_API_KEY="your_api_key_here"

On Windows:

set GOOGLE_API_KEY="your_api_key_here"

Alternatively, the application will prompt you to enter the key if it's not set.

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🏃‍♂️ How to Run

Option A: Run the Python Script (Recommended)

This is the best way to run the chatbot for a clean, command-line experience.

python career_chatbot.py

Type exit or quit to end the conversation.

Option B: Run the Jupyter Notebook

If you prefer a cell-by-cell interactive experience, you can run the notebook directly.

jupyter notebook careerchatbot.ipynb