AI News Summarizer and Sentiment Analyzer
Ali Sayyed
Like this project
Posted Jul 31, 2025
Developed an AI tool for news summarization and sentiment analysis with Hindi audio conversion.
Likes
0
Views
0
Timeline
Mar 1, 2025 - Mar 20, 2025
Clients
personal
NEWS_PULSE; AI NEWS SUMMARIZER
This project fetches news articles about a company, summarizes them, performs sentiment analysis, extracts key topics, and converts the summaries into Hindi audio. It has two versions: a web application using Streamlit and an API server using FastAPI.
Features
Fetches news articles from Google News.
Summarizes articles into three sentences.
Performs sentiment analysis (Happy, Sad, or Neutral).
Extracts three main topics from each summary.
Converts summaries and overall analysis to Hindi audio.
Provides a web interface (Streamlit) or an API (FastAPI).
Project Structure
app.py - Streamlit application for an interactive UI.api.py - FastAPI server for API-based access.utils.py - Helper functions for fetching, summarizing, sentiment analysis, etc.requirements.txt - List of required dependencies.README.md - Documentation.Tech Stack
Languages
Python (Version 3.7+ recommended)
Libraries
Streamlit - For building the web application.
FastAPI - For API-based access.
Pydantic - For API request validation.
Requests - To fetch web pages and articles.
BeautifulSoup4 - To parse HTML and extract news content.
VaderSentiment - For sentiment analysis.
gTTS (Google Text-to-Speech) - To generate Hindi audio.
Deep-Translator - To translate English summaries to Hindi.
NLTK - For text processing and topic extraction.
Uvicorn - To run the FastAPI server.
APIs Used
Google News (Unofficial) - Scraped using
requests and BeautifulSoup4 to fetch article URLs. No API key required, but dependent on Google’s HTML structure.Google Translate (via Deep-Translator) - Converts English text to Hindi.
Google Text-to-Speech (via gTTS) - Converts text summaries to Hindi audio.