LEAP - Learning Enhancement And Progression📚🚀

LEAP 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. Built using Python, Streamlit, and the GROQ LLM API, the application generates comprehensive learning paths with key concepts, curated resources, and estimated completion timelines. Features include automated document generation for learning plans, and intelligent resource recommendations from trusted platforms. The tool helps users efficiently plan their learning journey by breaking down complex career transitions into structured, actionable steps with specific time estimates and progress tracking capabilities.

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.

Streamlit App🔗

Link: https://leap-learning-path-generator.streamlit.app/

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/gudashashank/LEAP

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!

Made with 💙 by Shashank Guda