📚 Module 4: Industry Analysis with AI
Module Objective:
Train students to leverage AI and Python for automating industry research, demand analysis, and competitor benchmarking — making sector research 10x faster and smarter.
🏗️ Suggested Lesson Flow
| Section | Content |
|---|---|
| 4.1 Understanding Industry Analysis | Why 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 Assignment | Students pick 1 sector and prepare an AI-driven mini industry research report. |
⚙️ 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
Class Sessions
1- Chat GPT creation: Update of Monthly Bajaj Auto data
2- We used the Prompt
3- ChatGPT creation: The *India Development Update* (IDU) September 2024 report of World Bank
4- ✅ Module 2 Breakdown
5- Google Colab Notebook – India Macro Data Fetcher
6- ChatGPT Prompt Library – Macro Edition
7- Module Objective:
8- Practical Code Walkthrough
9- Choosing the Right AI Platform: An Unbiased Comparison for Research, Analysis, Content, and Creativity
10- B. AI Profile Customization Guide
11- AI Toolkit for Smart Investors
12- Step-by-Step Guide: Colab + Excel + ChatGPT
13- ProfitFromIt_StockResearch_Notebook (1)
14- Code for 4 Year Data Extraction (Text File)
15- 4 Years TCS Extracted Data for Revenue, profit, EPS and Price
16- ChatGPT Prompt Library for Stock Market Analysis
17- 🏠 Final Assignment Fair Value: Become the Analyst
