AI-Powered Digital Profile Generator
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 need to assess individuals' public perception and accomplishments for due diligence, PR review, or executive profiling. Manually reading through articles, blogs, and press releases is time-consuming and fragmented, especially when the information is scattered across various sources.
Solution:
Founder Footprint enables users to:
Input a founder or executive’s name (and optionally their company)
Automatically retrieve relevant articles using SerpAPI
Extract and clean article content via Newspaper3k
Run GPT-based sentiment analysis and topic classification
Generate a structured profile with key insights
This tool reduces hours of manual profiling into a 2-minute, AI-assisted task.
How It Works:
User enters a name (and optionally a company)
Articles are scraped via SerpAPI and parsed using Newspaper3k
GPT analyzes the cleaned content to identify key themes
Summarized output includes:
Background
Recent News
Public Sentiment
Achievements
Notable Quotes
ControversiesResults are displayed in a clean, interactive Streamlit app
Tools and Techniques
OpenAI GPT – for summarization, classification, and sentiment analysis
SerpAPI – to fetch relevant articles from search engines
Newspaper3k – for parsing and extracting news content
Streamlit – for fast frontend development
Python – for scripting and glue logic
dotenv – for secure API key storage
Key Learnings
Designing AI workflows with structured outputs from unstructured text
Managing multiple APIs in sync: search, scrape, summarize
Handling failure gracefully when articles are missing or limited
Writing prompt templates to ensure quality and consistency
Debugging LLM edge cases in public sentiment detection
Real Life Use Cases
VC analysts evaluating startup founders
Journalists preparing background for interviews
Executive search teams performing due diligence
Researchers profiling innovation leaders
PR teams preparing briefings or crisis assessments
Try the live demo
Key Outcomes / Results:
Designing AI workflows with structured outputs from unstructured text
Managing multiple APIs in sync: search, scrape, summarize
Handling failure gracefully when articles are missing or limited
Writing prompt templates to ensure quality and consistency
Debugging LLM edge cases in public sentiment detection