CourseCraft - Personalized Learning Path Generator📚🚀

This is a web application that generates a personalized learning path based on your educational background, skills, and goals. The app uses an AI model to create a customized plan and allows you to download it as a .docx file. It leverages the python-dotenv library for managing environment variables and keeps sensitive information (like API keys) safe from being exposed in the code.

Features🌟

• Generates a customized learning path based on user input.
• Displays a timeline-style learning path.
• Allows users to download the learning path as a .docx file.
• Securely handles sensitive information like API keys using environment variables.

Prerequisites⚙️

Before running the application, ensure you have the following installed:

• Python 3.x or later
• Streamlit
• Requests
• python-dotenv
• docx

Setting Up the Environment

Step 1: Clone the Repository

git clone https://github.com/dasaribhumika/learning-path-generator
cd learning-path-generator

Step 2: Create and Activate Virtual Environment

Create virtual environment:

python3 -m venv venv

Activate virtual environment (Linux/Mac): source venv/bin/activate

Activate virtual environment (Windows):

.\venv\Scripts\activate

Step 3: Install Required Dependencies

pip install -r requirements.txt

Step 4: Set up your environment variables

Create a .env file in the root of your project directory. Add the necessary API keys or environment variables in the .env file. For example:

API_KEY=your-api-key-here

Step 5: Make sure your .gitignore file is properly set up to ignore the .env file

Add .env to the .gitignore to prevent accidentally committing your API key to GitHub:

.env

Step 6: Run the Application

streamlit run app.py

How It Works 🤖

User Input:
The user provides their educational background, skills, and goals in the text areas on the web app.

Generate Learning Path:
Upon clicking the "Generate Learning Path" button, the app processes the input using the AI model and generates a customized learning path.

Download:
The learning path is displayed on the page, and the user can download it as a .docx file for further use.

Contributing 🤝

If you would like to contribute to this project, feel free to:

• Fork the repository
• Create a new branch
• Submit a pull request Your contributions are always welcome!