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Module Objective:

Lesson 7/9 | Study Time: 5 Min

πŸ“š Module 4: Industry Analysis with AI

Module Objective:

Train students to leverage AI and Python for automating industry research, demand analysis, and competitor benchmarking β€” making sector research 10x faster and smarter.


πŸ—οΈ Suggested Lesson Flow

SectionContent
4.1 Understanding Industry AnalysisWhy industry trends are critical for investing. Importance of growth sectors (e.g., EVs, Renewable Energy, AI, Pharma).
4.2 Tools for AI-Driven Industry Research- Google Trends API
- News APIs (Bing News, GNews)
- Web scraping basics (BeautifulSoup/Scrapy for sector news)
- ChatGPT for industry summaries
4.3 Live Practical #1: Web Scraping Sector News- Scrape top headlines from Economic Times/Business Standard.
- Filter only sector-specific news.
4.4 Live Practical #2: Google Trends Industry Demand- Fetch Google Trends data for sectoral keywords.
- Plot demand trends over time (Python visualization).
4.5 Live Practical #3: Competitor Benchmarking- Scrape or fetch data on key players (e.g., Maruti vs Tata Motors in Auto sector).
- Summarize using AI (market share, key differentiators).
4.6 Building an AI-Enabled Industry Dashboard- Combine News + Demand Trends + Key Competitors into one Excel Dashboard.
4.7 Mini AssignmentStudents pick 1 sector and prepare an AI-driven mini industry research report.

βš™οΈ Technology/Tools Required



  • Python




  • Google Colab




  • Libraries: yfinance, pandas, matplotlib, BeautifulSoup, requests, pytrends




  • Excel/Google Sheets (for final dashboard)




🎯 Learning Outcomes

By the end of Module 4, students will be able to:














  • Identify growing industries using AI tools




  • Automate extraction of news & demand trends




  • Benchmark leading companies in a sector




  • Present industry analysis in a structured AI-driven format