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From Wildfires to Wellness: AI Projects by High School Students Solving Real-World Problems

  • Writer: BetterMind Labs
    BetterMind Labs
  • Jul 13
  • 3 min read

Updated: Aug 19

AI Wildfire Sensors – Ryan Honary, California

High schoolers are building powerful AI projects from wildfire detection to mental health tools. Here's how students are learning to solve real problems with machine learning and data.


Artificial intelligence isn’t just changing industries; it’s changing what teenagers can do before they even apply to college.

In schools, after-school programs, and even bedrooms turned makeshift labs, high schoolers are building AI tools to tackle problems that are real, messy, and sometimes deeply personal.


And we’re not talking about toy chatbots or recycled code copied from GitHub. We’re talking about students using AI to fight wildfires, protect mental health, reduce bias, and improve healthcare.


Here’s what that actually looks like.


Why an AI Project by High School Students Matters More Than Ever

AI used to feel like rocket science. Unless you had access to a university lab or a Silicon Valley internship, it was nearly impossible to learn or build anything substantial.

But that’s changed.


Tools like Python, TensorFlow, OpenCV, and Google Colab have flattened the learning curve. Free courses from platforms like Fast.ai, Coursera, and Hugging Face give motivated students the structure they need. Public datasets? Everywhere.

Suddenly, a student who cares deeply about climate change or healthcare inequity can go from idea to prototype in a matter of weeks.


Real Projects. Real Impact.

Let’s get specific. Here are a few standout projects built by high school students recently:


1. SuiSensor – Siddhu Pachipala, Texas

After seeing classmates struggle with mental health, Siddhu Pachipala, a high school senior in Houston, built SuiSensor, an app that uses natural language processing to identify early signs of suicidal ideation in written text. His model reached over 98% accuracy on validation tests.

The project earned him a top spot at the Regeneron Science Talent Search https://www.societyforscience.org/regeneron-sts/2023-student-finalists/siddhu-pachipala/, and mental health experts praised its potential to save lives, especially for teens in under-resourced schools.


SuiSensor – Siddhu Pachipala, Texas

2. AI Wildfire Sensors – Ryan Honary, California

At just 14, Ryan Honary created a network of solar-powered wildfire sensors https://www.oneearth.org/climate-hero-ryan-honary/ that detect small fires using infrared and gas data, then send alerts in real time via AI-powered modeling.


His system is already deployed in Laguna Canyon, in partnership with the Orange County Fire Authority, and has the potential to drastically reduce wildfire damage in remote regions.


People in uniforms attentively observe a computer demonstration under a blue tent outdoors. A “Duracell” power unit is visible.

3. MoodMirror – Alex, New Jersey

His project, MoodMirror, is a lightweight AI tool that runs in the background while students work. It tracks patterns in typing speed, written tone, and screen time. When it senses emotional fatigue, long hours, stress-heavy language, or unusually negative phrasing, it gently prompts the user to pause and reflect.


It might ask: “You’ve been focused for 90 minutes, do you want a quick break?” Or: “Your last few journal entries sound more anxious than usual. Do you want to talk to someone?”


Alex built the first version as part of a program at BetterMind Labs, where students explore how AI can be integrated into different fields. MoodMirror isn’t flashy, but it’s personal. And that’s what makes it powerful.


Four people collaborate on a tech project with tools and a machine. Text: Explore Student's Project at BetterMind Labs. Black and white.

How to Get Started (If You’re a Student or a Parent)

All you need is curiosity, consistency, and support.

Here’s a quick roadmap:

  1. Learn the Basics – Python, basic data science, and machine learning concepts. Tons of free options online.

  2. Pick a Problem – What frustrates you? What breaks your heart? What’s something your community struggles with?

  3. Find a Mentor or Program – Whether it’s a school teacher, an online bootcamp, or a space like BetterMind Labs, because guidance matters.

  4. Build. Break. Repeat. – Your first model will probably fail. That’s normal. That’s where the learning happens.

  5. Tell Your Story – Document your journey. Explain your process. This will help with college apps, but also clarify your thinking.


Final Thought

The myth that “real AI” is only for PhDs or tech giants? It’s dead.


Today, high schoolers in the U.S. and Canada are building AI that’s smarter, kinder, and more grounded than much of what we see from adults. And they’re doing it with heart.

If you’re a parent, give your teen the space to explore this world. If you’re a student, don’t wait for permission. Start messy. Start curious.


But start.

Relevant Links:


Chaminade Wins 13th Medical Marvels Competition – Feinstein Institutes

NASA Human Research Program – IWS 2025

NASA HUNCH Program – High School Students United with NASA to Create Hardware

How AI Mental Health Tools Built by High School Students Are Helping Astronauts in Space

Meet the Students Behind BetterMind Labs

Streamlit – The Fastest Way to Build and Share Data Apps

How Astronauts Take Care of Their Mental Health in Space

BetterMind Labs – AI Projects by High School Students


Comments


Srinandhaan Ravikumar

VC Startup Analyzer

I had an incredible experience with this program! From start to finish, it was thoughtfully designed, engaging, and genuinely impactful. The content was not only informative but useful that i was able to use it in real life applications

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