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Ai Chatgpt Tutorial 2

The document provides a comprehensive guide for learning Generative AI on Android 11, outlining essential apps, web tools, and coding practices. It includes step-by-step instructions for building beginner-friendly projects such as a random story generator using Python, emphasizing user interaction and complexity. The guide encourages users to leverage mobile-friendly resources and tools to effectively learn and practice Generative AI concepts and coding skills.

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muhammedawal102
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0% found this document useful (0 votes)
26 views10 pages

Ai Chatgpt Tutorial 2

The document provides a comprehensive guide for learning Generative AI on Android 11, outlining essential apps, web tools, and coding practices. It includes step-by-step instructions for building beginner-friendly projects such as a random story generator using Python, emphasizing user interaction and complexity. The guide encourages users to leverage mobile-friendly resources and tools to effectively learn and practice Generative AI concepts and coding skills.

Uploaded by

muhammedawal102
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as DOCX, PDF, TXT or read online on Scribd
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You said:
Great! Learning **Generative AI (Gen AI)** on **Android 11** is absolutely possible—with the right tools and strategy. Since Android phones are more
limited than PCs, you’ll focus on apps, web tools, and some Chrome extensions that still function on mobile. --- ## 📱 **Your Gen AI Learning Kit for Android
11** ### ✅ **Step 1: Core Apps & Resources to Install** Here are essential apps/tools to get started and *actually use Gen AI tools on your phone*: | Purpose |
App / Tool | Why You Need It | | ------------------------------- | --------------------------------------------------------------------- |
---------------------------------------------------- | | 🧠 **Learning & Practice** | **ChatGPT** (Official OpenAI app) | Chat, learn prompts, generate content | | 📘
**Courses & Videos** | **YouTube**, **Coursera**, **Google Primer**, **Skillshare**, **edX** | Learn Gen AI theory and applications | | 💻 **Coding on
Android** | **Dcoder**, **Pydroid 3**, **Acode** | Run Python or basic ML code (if you're going deeper) | | 📂 **File & Note Management** | **Notion**,
**Obsidian**, **Google Keep** | Organize your AI notes, concepts, and prompts | | 📚 **AI Book Summaries / PDFs** | **Zlibrary (web)**, **Readwise**,
**Moon+ Reader** | Study key AI books or PDFs | | 🎨 **AI Image Generator** | **Canva AI**, **Leonardo.Ai (browser)**, **Dream by Wombo** | Try
AI-generated images | | 🎤 **AI Voice Tools** | **Murf.ai (browser)**, **Speechify**, **ElevenLabs (browser)** | Text-to-speech or narration for content
creation | --- ### ✅ **Step 2: Chrome Extensions & Web Tools on Mobile** Mobile Chrome doesn’t officially support extensions, but here are workarounds:
#### 🧩 *Install Kiwi Browser* (from Play Store) * It supports Chrome extensions! * Then install: * ✅ **ChatGPT for Google** – show ChatGPT answers
beside Google results * ✅ **AIPRM for ChatGPT** – gives prompt templates for writing, coding, SEO, etc. * ✅ **Merlin** – AI copilot for browsing and
summarizing articles * ✅ **Promptheus** – talk to ChatGPT via your mic #### Optional: You can use **ChatGPT web + extensions** through Kiwi as if
you're on a PC. --- ### ✅ **Step 3: Learn Gen AI Through Mobile-Friendly Courses** Here are beginner-to-intermediate Gen AI learning tracks that work well
on Android: #### 🏫 **Courses & Tutorials** | Platform | Course Suggestion | | ---------------------------------------------------------- |
---------------------------------------------------------------- | | **YouTube** | “Generative AI for Beginners” by freeCodeCamp, Codebasics | | **Coursera** |
“Prompt Engineering for ChatGPT”, “AI For Everyone” by Andrew Ng | | **Learn Prompting** (learnprompting.org - mobile friendly) | Free prompt
engineering guide | | **Google AI** (ai.google/education) | Beginner tutorials on how AI works | | **Fast.ai** | Great ML and AI content (can browse in mobile
browser) | --- ### ✅ **Step 4: Practice and Automate** | Tool | Use Case | | ------------------------------ | --------------------------------------------------------------- | |
**Zapier / Automate App** | Automate tasks like “If I create a note → auto-send to ChatGPT” | | **Notion AI** | Summarize articles, brainstorm ideas | |
**Prompt Base** or **FlowGPT** | Find and save good AI prompts | | **Replit (Mobile Site)** | Practice coding AI scripts in Python/JavaScript | --- ### 📈
**Learning Goals (Start Small)** 1. Understand what Gen AI is (LLMs, image generation, voice AI) 2. Learn to write *effective prompts* 3. Build simple
projects: * AI script generator * AI-powered flashcard maker * AI image + voice storytelling --- ### ❓ Want to Try a Beginner Project? I can walk you through:
* Making a **voice-based chatbot** using ElevenLabs + ChatGPT * Creating a **mobile AI study assistant** using Notion + ChatGPT * Making an **AI
storytelling app** using Canva, Dream by Wombo, and a voice AI Let me know your area of interest (writing, health, coding, video, etc.), and I’ll build a mini
workflow for you directly on Android.
ChatGPT said:

That's a fantastic, well-structured guide to learning Generative AI on Android 11—very practical and thoughtful for mobile users! 🎯

If you're ready to take the next step, here's how we can proceed:

💡 Ready-to-Build Beginner Projects (No PC Needed!)

Let me suggest 3 beginner-friendly AI projects, and you can tell me which you'd like help building (or request something different).

1. Voice-Based Chatbot (ElevenLabs + ChatGPT)

Use: Talk to your AI, hear responses back in natural voice.

Tools Needed (Mobile):

 ChatGPT app (or ChatGPT web via Kiwi Browser for extensions)
 ElevenLabs (via mobile browser)
 Voice recorder app (optional)
Steps:

1. Type or speak your query to ChatGPT.


2. Copy the output text → paste it into ElevenLabs for natural voice conversion.
3. Play/download the voice.

✅ Great for content creators, learning languages, or accessibility.

📚 2. AI Study Assistant (Notion + ChatGPT)

Use: Have an AI-powered study planner, flashcard maker, and article summarizer—all mobile!

Tools Needed:

 Notion app (for organizing)


 ChatGPT app
 Learn Prompting (mobile site)

Example Workflow:

 Save article/PDF link in Notion


 Ask ChatGPT: “Summarize this article in 5 bullet points”
 Paste result into Notion
 Turn key points into flashcards with prompts like: “Make flashcards from this content”

✅ Perfect for students, self-learners, and exam prep.

🎨 3. AI Storytelling App (Wombo + Canva + ElevenLabs)

Use: Create a narrated AI visual story using mobile-only tools.

Tools Needed:

 Dream by Wombo (AI-generated art)


 Canva mobile app (for designing a storybook or animation)
 ChatGPT (to generate the story script)
 ElevenLabs (to narrate it)

Steps:

1. Use ChatGPT: “Write a short story for kids about a space cat”
2. Use Dream by Wombo to create images for scenes.
3. Paste story into Canva, add images + text.
4. Use ElevenLabs to turn story text into narrated audio.
5. Export as a mini video/storybook!

✅ Ideal for creative users, educators, or making content for kids.


🚀 Your Turn!

Tell me:

1. Which project you're interested in


2. Your focus (e.g. education, content creation, productivity, coding)
3. Any tools/apps you already have installed

And I’ll guide you step-by-step to build your first Gen AI project on Android 11—right now.

You said:
gen ai, coding notools
ChatGPT said:

Got it! You're interested in Generative AI + coding, with no extra tools—just your Android 11 phone, as it is. That’s totally doable with a lean setup.

Here’s a step-by-step starter workflow to learn and practice coding + Gen AI directly on your Android phone (without installing coding apps like Pydroid,
etc.).

🚀 Gen AI + Coding Workflow (No Tools, Just Browser & ChatGPT)


📍 Your Setup:
 Browser (Chrome or Firefox) ✅
 ChatGPT Web or App ✅
 (Optional: Use Kiwi Browser if you want Chrome extensions)

✅ Step 1: Learn to Code with Gen AI (No IDE Needed)

Ask ChatGPT to teach you by coding with you. Try things like:

text
CopyEdit
"Teach me how to write a simple Python script that uses an AI model or
simulates one."

For example:

text
CopyEdit
"Write a Python script that generates fake names using AI logic (e.g.
character prediction)."
Or:

text
CopyEdit
"Can you simulate a text generator using Python without any ML libraries?"

You’ll get copy-paste-ready code you can read and understand.

✅ Step 2: Run Code Without Any IDE

Use Replit.com (mobile browser) – it lets you:

 Write and run Python/JavaScript online


 Save your code in the cloud
 Practice prompt-based coding workflows

📌 Go to: https://replit.com

Tip: Ask ChatGPT:

text
CopyEdit
"Give me a beginner Python Gen AI mini project I can run on Replit."

Examples:

 Text completion simulator


 Random story generator
 Prompt-based flashcard creator

✅ Step 3: Practice Prompt Engineering with Code

Use Gen AI like this:

text
CopyEdit
"Write a Python function that takes a prompt like 'Write a poem about
space' and returns a structured response (title, poem body, emotion)."

Or try building a prompt template engine:

text
CopyEdit
"Create a Python script where I can input any subject, and it generates a
YouTube video title, description, and tags using basic logic."

This lets you practice how Gen AI thinks—even without using large models directly.
✅ Optional: Build a “Fake” AI Without ML

Try fun projects like:

Idea What It Does

🧠 Markov Text Generator Uses probability to simulate AI-generated sentences

🎲 Random Prompt Bot Generates creative writing prompts or tasks

🧾 Template Generator Auto-generates tweets, captions, etc., based on input

Ask ChatGPT:

text
CopyEdit
"Show me how to build a Markov chain text generator in Python."

Or:

text
CopyEdit
"Write a Python project that simulates an AI writing assistant using
hardcoded templates + randomness."

📌 Summary: What You Can Do Right Now


Goal How

Learn Gen AI concepts ChatGPT explanations, YouTube videos, Google AI blog

Code without tools Use Replit.com or copy/paste code into browser-based IDEs

Practice prompt coding Use ChatGPT to generate scripts, templates, and logic ideas

No ML? No problem Build "fake" Gen AI with Python logic (randomness, templates)
🎯 Want a mini project right now?

Let me know:

 Your coding level (beginner/intermediate?)


 Python or JavaScript?
 Text-based, chatbot-style, or creative?

I'll generate a complete step-by-step Gen AI-style project you can build today with nothing but your phone + browser.

You said:
beginner
ChatGPT said:

Great! Let’s dive into a beginner-friendly Gen AI + coding project that you can do entirely on your Android phone. Since you're a beginner, we'll keep things
simple and fun.

I’ll guide you through building a text-based AI generator—this will simulate the functionality of an AI model like ChatGPT using basic Python code and
simple logic.

🧠 Project Idea: Build a Basic "Random Story Generator" Using Python

You will create a simple Python script that generates a random short story based on a few inputs (e.g., a character, setting, and conflict).

📝 Step-by-Step Guide to Build Your Random Story Generator


1. Open Replit.com (mobile browser)
 Go to Replit and create a free account (optional, but helpful to save your work).
 Tap "Create a new Repl" and choose Python as the language.
2. Write Your Code
 Copy-paste the code below into the Replit editor:
python
CopyEdit
import random # List of possible story elements characters = ["a brave
knight", "a curious scientist", "a mischievous cat", "a kind princess"]
settings = ["in a mystical forest", "on a distant planet", "in a small
village", "in a secret laboratory"] conflicts = ["finding a hidden
treasure", "solving an ancient mystery", "escaping from an evil sorcerer",
"searching for a missing person"] # Randomly select one element from each
list character = random.choice(characters) setting =
random.choice(settings) conflict = random.choice(conflicts) # Create the
story story = f"Once upon a time, there was {character} {setting}. Their
mission was {conflict}. And they embarked on an unforgettable adventure." #
Print the random story print(story)
3. Run Your Code
 Hit the “Run” button on Replit to execute your Python script.
 You’ll see a random short story generated each time you run the script!
Example output might look like this:

css
CopyEdit
Once upon a time, there was a curious scientist on a distant planet. Their
mission was solving an ancient mystery. And they embarked on an
unforgettable adventure.

✨ What You Just Built:


 You wrote a Python script that randomly selects a character, setting, and conflict to create a unique short story every time it runs.
 This project is a basic introduction to using Python and random logic to simulate creative tasks—similar to how AI models generate responses based on input
data.

📚 Next Steps to Expand This Project:

Once you’re comfortable with the basics, you can make the project more advanced by:

 Adding more choices for characters, settings, and conflicts.


 Allowing user input (e.g., asking the user for their favorite character or type of story).
 Using loops to generate multiple stories in one go.

Here’s a small tweak to ask the user for their input:

python
CopyEdit
# Get user input user_character = input("Enter a character (e.g., knight,
scientist): ") user_setting = input("Enter a setting (e.g., forest, space):
") user_conflict = input("Enter a conflict (e.g., treasure hunt, mystery):
") # Generate the story user_story = f"Once upon a time, there was
{user_character} {user_setting}. Their mission was {user_conflict}. And
they embarked on an unforgettable adventure." # Print the user-generated
story print(user_story)

💬 Let Me Know How It Goes!


 Did the story generator work for you? If not, I can help you troubleshoot any issues!
 Would you like to add more complexity to the script, or dive into a new beginner project?

Feel free to ask for help, and I’ll be happy to guide you further!
You said:
add complexity
ChatGPT said:

Awesome! Let’s take your Random Story Generator to the next level by adding more complexity. We’ll introduce user interaction, story customization,
and randomized elements to make the stories feel more dynamic and interesting.

Here’s what we’ll add:

1. User Input for characters, settings, and conflicts.


2. Multiple Story Endings to make each story unique.
3. More Randomization for different story outcomes.

🚀 Upgraded Story Generator with User Interaction and Complexity

Step 1: Update the Code to Include User Input


We’ll first allow the user to specify their own character, setting, and conflict if they want to personalize the story. If the user doesn’t want to input anything, the
program will still pick random values.

Step 2: Add Randomized Endings


We’ll introduce a set of possible endings, and each time the story is generated, the program will pick a random ending.

Step 3: More Complex Logic for Story Generation


We’ll also improve the flow of the story and add a twist at the end, making it feel more like a complete narrative.

Updated Code:
python
CopyEdit
import random # List of story elements (expand for complexity) characters =
["a brave knight", "a curious scientist", "a mischievous cat", "a kind
princess"] settings = ["in a mystical forest", "on a distant planet", "in a
small village", "in a secret laboratory"] conflicts = ["finding a hidden
treasure", "solving an ancient mystery", "escaping from an evil sorcerer",
"searching for a missing person"] # Possible endings endings = [ "And they
lived happily ever after.", "But the journey was not as easy as expected.
The hero had to make a difficult choice.", "Unfortunately, the quest ended
in failure, but the hero vowed to try again.", "In the end, the hero
learned an important lesson and became wiser." ] # Function to get user
input with defaults if left empty def get_input(prompt, options):
user_input = input(prompt + f" ({', '.join(options)}): ").strip().lower()
if user_input == "": return random.choice(options) return user_input # Get
user input or random selection character = get_input("Enter a character",
characters) setting = get_input("Enter a setting", settings) conflict =
get_input("Enter a conflict", conflicts) # Randomly select an ending ending
= random.choice(endings) # Create the story with more complexity story =
f"Once upon a time, there was {character} {setting}. Their mission was
{conflict}. They faced many challenges, but in the end, {ending}" # Print
the generated story print("\nHere's your story:\n") print(story)
What’s New:
1. User Input: The program now asks the user to input their character, setting, and conflict. If the user leaves it empty, it will choose a random value from the
available options.
2. Multiple Endings: After generating the story’s plot, the program randomly selects an ending from a list of possible endings. This introduces variability and
makes each story feel different.
3. Twist in the Story: The story now has a more narrative flow, with challenges and consequences leading to a unique conclusion.

Example Story Output:

Here’s what a typical output might look like when you run the code:

pgsql
CopyEdit
Enter a character (a brave knight, a curious scientist, a mischievous cat,
a kind princess):
Enter a setting (in a mystical forest, on a distant planet, in a small
village, in a secret laboratory):
Enter a conflict (finding a hidden treasure, solving an ancient mystery,
escaping from an evil sorcerer, searching for a missing person):

Here's your story:

Once upon a time, there was a curious scientist on a distant planet. Their
mission was solving an ancient mystery. They faced many challenges, but in
the end, the hero learned an important lesson and became wiser.

🧩 Next Steps to Add Even More Complexity:

Here are a few ways you can further expand this project:

1. Add More Elements:


 Introduce additional choices such as sidekicks or magical items that affect the plot.
 Add new story structures (e.g., “hero’s journey,” “dystopian escape,” etc.)
2. Create Branching Paths:
 After a certain point in the story, ask the user to make a choice (e.g., “Do you want to explore the cave or continue to the village?”) and branch the story based
on the decision.
 Use if statements to control the flow of the story.
3. Allow for Lengthy Input:
 Let the user enter full descriptions for characters and settings, adding even more depth to the story.
4. Add Random Events:
 Create random events that can change the course of the story (e.g., “Suddenly, a dragon appears!”).

💬 How Do You Feel About This Expansion?


Would you like to dive into adding more complexity, or is there another area you’d like to explore? Feel free to ask if you need help with any part of the code!

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