TechTeacher

TechTeacher is an AI-powered learning assistant that automatically adapts to the needs of first-time computer users.
Download here, unzip it, and run streamlit run app.py in your terminal
Alternatively, go to the Streamlit website To turn on Dev Mode, set "dev_mode" to true in data.json

AI DEMO

Azielon AI Bootcamp 2026 Demo Day Presentation Workbook

Student Information

Vedant Kadalli
TechTeacher
Grade 9
Presentation Date

Presentation Goal

Prepare a 4–5 minute presentation explaining your AI application, demonstrating it live, and reflecting on what you learned.

Presentation Checklist

Final application works
GitHub repository updated
README.md completed
Reflection.md completed
Slides finished
Demo tested
Practice completed
Backup screenshots saved

Slide 1 - Introduction

Introduce yourself
Project name
One-sentence project description: TechTeacher is an AI app that gives simple instructions on computer topics and adapts based on the user’s feedback.

Presentation Notes:

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Slide 2 - The Problem

What problem are you solving? Many first-time computer users will find it hard to survive in the modern era because the world assumes that they know how to use a computer.
Who are your users? First-time computer users
Why are current solutions not enough? Current tutorials are still too easy or too hard and don’t get the job done well enough.

Presentation Notes:

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Slide 3 - The Solution

Explain how your app works My app uses AI to create a simple guide for the user and adapts based on user feedback.
How does AI help? The AI cna understand whatever the user gives it.
Main features Highly refined prompt, simple user feedback, persistent skill adaptation

Presentation Notes:

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Slide 4 - Live Demo

Show user input
Generate AI response
Explain each step

Presentation Notes:

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Slide 5 - Reflection

Biggest challenge dealing with very unclear errors
What you learned how the development process works
Future improvements vision AI for screenshot propmpts

Presentation Notes:

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AI Workflow

User Input
↓
Prompt
↓
Ollama API
↓
Llama 3.2
↓
Prompt
↓
Ollama API
↓
Llama 3.2
↓
Application Output
↓
Feedback

Technologies Used

Python
Git & GitHub
Prompt Engineering
JSON
Ollama
Llama 3.2
Toml
API
Cookies
Streamlit
Batch

Possible Questions

Why did you choose this project?

This was an idea that suddenly entered my brain and the more I thought about it, the more I realized that it was a useful problem to solve

How does your AI work?

The AI uses highly descriptive fonts to create a refined step-by-step guide on computer topics.

What was your biggest challenge?

dealing with very unclear errors

What did you learn?

How the development process works

What would you improve next?

Vision AI for screenshots

Demo Day Rubric

Category	Points
Problem Explained	10
Solution	15
AI Integration	15
Working Demo	20
Technical Knowledge	15
UI/UX	10
Presentation	10
Creativity	5

Final Reflection

I am most proud of…

The fact that my app solves a real problem and helps millions of people

The biggest lesson I learned…

Never give up

If I had another month, I would…

Add Vision AI

My advice to next year’s students…

Don’t take it lightly because you are solving a real problem and doing real things