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🖼️ Google Teachable Machine Projects

These are simple AI models created using Google’s Teachable Machine, which can recognize images and sounds:

  • Image Recognition Model – Detects and identifies different shapes Try it here
  • Voice Recognition Model – Identifies different sounds Try it here

You don’t need to install anything. Just open the links in a browser and test them.


💬 Chatbots

These are programs that can have a conversation with a user:

  • Basic Chatbot – Works with simple rules using if-else statements File: chatbot1.py
  • Advanced Chatbot – Uses AI and Natural Language Processing (NLP) to understand questions better File: chatbotai.py

Think of these as simple “talking robots” that can answer questions.


📊 Working with Datasets

This section shows how we handle real-world data to make predictions:

  • Notebook for Practice – Step-by-step explanation of working with the Titanic dataset Open Notebook
  • Original Dataset – Raw Titanic data: titanic.csv
  • Cleaned Dataset – Data after removing errors and making it ready for analysis: titanic_cleaned.csv

A dataset is just a table of information, like an Excel sheet, that we can use to train models or make predictions.


🎙️ Voice Assistant

  • Voice Assistant Program – A small program that can listen to your voice and respond File: vc.py

This is like a mini version of Siri or Alexa that runs on your computer.


✅ Notes for Future Users

  • All files are ready to run.
  • If you’re not technical, you can open the notebooks and web links directly.
  • The code is commented, so you can read it like a story.

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A collection of vocational AI internship projects demonstrating basic AI and programming concepts, including image and voice recognition models, chatbots, dataset handling, and a voice assistant.

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