Introduction to Your AI and Web Scraping Project

What's This Project About?

This two-week project will teach you about:

1. Web scraping - collecting information from websites automatically
2. Artificial Intelligence (AI) - using smart computer programs to process information

Why Are You Doing This?

These skills are important because:

• They help handle large amounts of online information
• Many companies use these techniques for research and analysis
• It's a growing field in technology

What You'll Learn

During this project, you will:

1. Write code to collect data from websites
2. Clean up the data you collect
3. Use AI tools to analyze and summarize information
4. Build a program that can gather info and write simple reports

How It Works

• Follow the project plan day by day
• Complete the tasks and check them off as you go
• Ask for help if you get stuck

Remember, even expert coders were beginners once. So don't worry if something seems tricky at first - that's how you learn!

Ready, Set, Code!

Time to power up your computer and get started. Who knows? By the end of this, you might be teaching the robots a thing or two! 🤖

Good luck, and have fun with your project!

Week 1: Web Scraping and Data Collection

Day 1-2: Introduction to Web Scraping

• Understand basic HTML structure
• Learn about CSS selectors
• Study the basics of BeautifulSoup or Scrapy
• Complete a simple web scraping tutorial

Day 3-4: Build a Basic Web Scraper

• Choose a website to scrape (focus on AI/tech news)
• Write a Python script to scrape the chosen website
• Successfully extract text data from web pages
• Handle pagination if applicable

Day 5: Data Cleaning and Storage

• Learn basic data cleaning techniques
• Remove unnecessary whitespace and formatting from scraped data
• Handle common encoding issues
• Store cleaned data in CSV files or a simple database

Week 2: AI and LLM Integration

Day 6: Introduction to AI and LLMs

• Research and summarize key AI concepts
• Understand the basics of how LLMs work
• Explore and list potential ethical considerations in AI
• Write a brief reflection on AI's impact on society

Day 7-8: Using AI APIs

• Set up an account for an AI API (e.g., OpenAI)
• Study the API documentation
• Write Python code to make API calls
• Create and test various prompts for text generation or analysis
• Successfully generate AI-created content based on prompts

Day 9-10: Building a Report Writer Assistant

• Design the flow of the report writer program
• Integrate the web scraper with the AI API
• Implement error handling and API usage optimization
• Create a user-friendly interface for the program
• Generate a complete report using scraped data and AI analysis

Final Steps

• Review and refine the entire project
• Prepare a presentation of the work done and lessons learned
• Discuss potential future improvements and applications