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[PR #32] [MERGED] AI-Business-Insider #106
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📋 Pull Request Information
Original PR: https://github.com/Shubhamsaboo/awesome-llm-apps/pull/32
Author: @Madhuvod
Created: 11/25/2024
Status: ✅ Merged
Merged: 11/28/2024
Merged by: @Shubhamsaboo
Base:
main← Head:ai-news📝 Commits (3)
ac5affaAdded new Agent project in ai_agent_tutorials06447e7Fix: Added ai_business_insider as a regular folder with code files8c1999anew implementation of the agent w phidata📊 Changes
4 files changed (+148 additions, -0 deletions)
View changed files
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ai_agent_tutorials/ai_business_insider/.gitignore(+1 -0)➕
ai_agent_tutorials/ai_business_insider/README.md(+43 -0)➕
ai_agent_tutorials/ai_business_insider/business_insider.py(+99 -0)➕
ai_agent_tutorials/ai_business_insider/requirements.txt(+5 -0)📄 Description
Description: This project is a News Engine that helps users research a news topic, fact-check information, summarise key findings, and analyze trends to help find their Potential Business Ideas for their own Company! It leverages multiple AI agents to collect, verify, and analyze news, enabling users to extract insights and identify key opportunities across various news articles. The application uses CrewAI to orchestrate these tasks and provide an interactive experience.
One liner: An AI-powered news aggregator that simplifies access to recent, sector-specific news and trends, helping users stay informed and spot business opportunities effortlessly.
Basic Idea: Mainstream News and Media is very clustered and time taking to go through multiple news domains at a time. With the help of this application integrated with a LLM, people can study and read about the recent news updates easily of a particular sector they are interested in, across multiple news articles instantly - also giving them what the trends are.
Sometimes people want to read about sports, finance and business, the tech industry and even the Politics in depth - this application helps them to query the sector they want to the recent news about, and they get it along with the potential business opportunities that are there, helping them in their entrepreneurial journey too! If they find any particular article interesting, they can click the link of that particular article directly.
Tools/Technologies used:
Frontend: Streamlit
Backend:
Python (with FastAPI for the API backend)
AI/ML Tools:
CrewAI for orchestrating AI agents
Google Fact-Check Tools API
OpenAI for trend analysis
Web Scraping: Custom web scrapers and external APIs (News API)
🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.