Project Overview
Type: Personal Project
Tech Stack: Python, Streamlit, OpenAI GPT, BeautifulSoup
Role: End-to-end builder (ideation, development, deployment)
Timeline: 1-week prototype
Summary
AI Website Summary Generator is a web application that allows users to enter the URL of any website and receive a short, clear AI-generated summary of its content along with key topics. This tool eliminates the need to read through lengthy web pages when performing research or evaluating online content. It uses OpenAI’s GPT models and Python’s BeautifulSoup to power the summarization process within a clean, Streamlit-based interface..
Problem Statement:
Professionals often encounter content-heavy websites when conducting market research, competitor analysis, or reviewing industry news. Manually scanning through each page is time-consuming and inefficient, especially when multiple pages must be reviewed in short periods.
Solution:
AI Website Summary Generator enables users to:
Input any public website URL
Automatically extract and clean textual content using BeautifulSoup
Generate an AI-based summary with key insights using GPT
Use the summary for quick reviews, notes, or content planning
The tool is designed to support decision-makers, marketers, researchers, and students with rapid information extraction from websites—without needing to scroll through entire pages.
How It Works:
Paste a URL into the app interface
Auto-corrects missing protocols like https://
Extracts clean text from the website using BeautifulSoup
Sends content to OpenAI GPT for summarization and topic detection
Displays summary and key sections in a readable format
API keys are securely managed using a .env file to protect user credentials.
Tools and Techniques
OpenAI GPT – for semantic understanding and summarization
BeautifulSoup – for structured content extraction from webpages
Streamlit – for interactive, low-code frontend development
Python & Requests – for backend processing and page retrieval
dotenv – for secure API key storage
Key Learnings
Implementing web scraping with robust content cleaning
Designing user workflows that connect real-time web input with AI services
Managing and securely storing environment-level configurations
Rapid prototyping and deployment with Streamlit Cloud
Bridging AI capability with intuitive user experience
Real Life Use Cases
Digital marketers summarizing competitor landing pages
Consultants preparing briefs from industry portals
Analysts extracting insights from research-focused sites
Students summarizing online articles for study
Founders reviewing VC websites or innovation hubs
Key Outcomes / Results:
Implementing web scraping with robust content cleaning
Designing user workflows that connect real-time web input with AI services
Managing and securely storing environment-level configurations
Rapid prototyping and deployment with Streamlit Cloud
Bridging AI capability with intuitive user experience