AI-Powered Portfolio Website Generator

This project leverages Generative AI to automatically generate a fully functional, responsive portfolio website. Using LangChain and Google's Generative AI, the tool creates HTML, CSS, and JavaScript code based on a simple user prompt.

Features

• Resume Parsing: Supports both PDF (PyPDF2) and DOCX (python-docx) resume uploads.
• AI-powered Code Generation:Automatically generates complete HTML, CSS, and JavaScript based on extracted resume details.
• Streamlit Interface: Easy-to-use interface for anyone, regardless of technical background.
• Downloadable ZIP:: Get the complete website (index.html, style.css, script.js) in a ZIP file for quick deployment.

How It Works

1. Upload Your Resume: The user uploads a PDF or DOCX file via the Streamlit interface
2. Text Extraction: A Language Model processes the text to structure key details (skills, experience, education) and generate the website code.
3. Download & Deploy: your portfolio website.

Technologies Used

• Streamlit: For building the front-end user interface.
• LangChain: To interface with Google's Generative AI and generate the web code.
• Google Generative AI: For natural language processing and code generation.
• zipfile: The code is packaged into a ZIP file for the user to download and deploy.
• PyPDF2 & python-docx: For document parsing.

Getting Started

Prerequisites

1. Python 3.x (version 3.7 or above).
2. Install the required dependencies:

   pip install streamlit langchain langchain-google-genai python-dotenv PyPDF2 python-docx
   

3. Set up your Google API key by adding it to a .env file.

Running the App:

1. Clone this repository:

    https://github.com/ShubhamMohanty680/AI_Portfolio_Website.git
    cd AI_Portfolio_Website
   

2. Run the Streamlit app:

   streamlit run main.py