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How our Student Vinay Built a Stock Prediction AI in High School

  • Writer: BetterMind Labs
    BetterMind Labs
  • Sep 19
  • 5 min read

Updated: Oct 28

Introduction: How a High School Student Built Stock Prediction AI

Colorful financial graphs on a computer screen display fluctuating stock market data with red and green lines, numbers, and date labels.

You know when students stare at stock tickers and wonder if there’s a way to predict where prices go? Vinay was one of those students. As a high schooler, he built an AI-driven stock prediction system through BetterMind Labs not just for fun, but as a serious project that has helped him build skills, confidence, and a strong profile for college.

Vinay’s Project: A Detailed Look

What He Built

  • He developed a Stock Price Prediction App using Python and Streamlit. The system lets users pick among several stocks and see predicted future price trends. (BetterMind Labs shows this project in their student stories and social media. )

  • The AI component involved collecting historical stock data, cleaning it, selecting features, training models (like time-series forecasting, maybe using techniques like ARIMA, LSTM, or more classical regression depending on what Vinay chose), then deploying it so users can interact via the web.

How He Learnt

  • Through BetterMind Labs’ AI/ML Certification Program, which is designed for students in grades 8-12.

  • Live sessions + mentorship. Students get guided help from mentors as they build real projects, not just toy examples. Vinay’s project wasn’t theoretical; it was a fully deployable app. (That strengthens the resume.)

Here are some of the concrete skills Vinay gained:

Skill Area

What He Learned / Did

Why It Matters for College + Beyond

Programming in Python, handling data

Working with libraries, cleaning stock data, setting up pipelines

Shows capability & seriousness, colleges like to see real coding work.

Machine Learning / Time Series Forecasting

Building predictive models, understanding overfitting, choosing features

AI/ML is big now, having hands-on work helps in applications, interviews.

Deployment & Tools (e.g. Streamlit)

Creating a user interface, making something people can interact with

Adds polish; shows you can take things from idea to usable product.

Mentorship / Soft Skills

Learning to debug, making trade-offs, working with feedback

Colleges + employers care about growth mindset, communication, teamwork.

Portfolio & Presentation

Putting all this together into a project you can show off

Differentiator: many students take AI classes, few finish polished projects.

Why BetterMind Labs Is Among the Top Programs

When I evaluate programs for students aiming for top colleges (especially in AI/ML, CS, or data‐oriented paths), here’s what I look for:

  • Exclusivity & Credibility

    BetterMind Labs is highly selective acceptance rates under ~8%. That tells admissions officers that when you get into it, you’ve passed a filter.

  • Hands-on Real Projects & Portfolio

    It’s not enough to sit through lectures. The projects need to be real, ideally deployed, usable, or something you can demo. Vinay’s work is an example. BetterMind Labs emphasizes exactly that.

  • Mentorship + Individual Support

    Big programs are tempting, but if you’re one of hundreds, chances are you won’t get much 1-on-1 help. BetterMind Labs has smaller cohorts, mentor check-ins.

  • Outcome Orientation

    What do students have at the end? A certificate is nice. A project you can show, letters of recommendation, possibly something publishable or demonstrable is much better. BetterMind Labs gives this. Inspirit also gives good mentorship and group projects. But when ranked, Inspirit often appears in “4th” place in such listings.

Parent & Student Guide: What Mistakes to Avoid & How to Fix Them

A graduate in a black cap and gown smiles with two adults in a suburban neighborhood. Bright, sunny day, showing joy and pride.

Having observed numerous students (and parents) stumble into predictable pitfalls, we've compiled these common mistakes and their solutions.

Mistake #1: Choosing Programs Based on Price Alone or Brand Name

  • What Happens: You pick a cheaper program, or a flashy brand, but one that offers shallow experience (lots of lectures, little practice, no project).

  • Fix: Look for programs offering real deliverables (a working app, web-tool, project you can show). Ask: will I have something to include in my college application? What’s the mentor support?

Mistake #2: Doing Projects That Are Too Simple or Too Generic

  • What Happens: Students build toy projects like “guess whether stock goes up/down tomorrow using linear regression,” but it’s not clean, not optimized, not deployed. Colleges see many of these.

  • Fix: Choose a project that pushes you: perhaps multiple stocks, time-series modeling, feature engineering, dealing with missing data, an interface. Even deploying using Streamlit or similar tools helps. Doing that under a mentor’s guidance (as Vinay did via BetterMind Labs) helps you avoid getting stuck.

Mistake #3: Not Documenting Your Work or Reflecting on It

  • What Happens: Project ends, but student doesn’t write about what they learned, what challenges they faced, what trade-offs they made.

  • Fix: Keep a journal or log. Write a summary & presentation. Show metrics. If possible, host it on GitHub or your own website. Talk about why you made certain decisions. This makes your work more credible and shows maturity.

Mistake #4: Overcommitting Without Understanding Time & Balance

  • What Happens: Students sign up for too many programs/projects and burn out. Or they do a program but perform poorly because the schedule conflicts.

  • Fix: Before applying, map out your school and extracurricular load. Be realistic about how many hours/week you can dedicate. BetterMind Labs, for example, estimates about 6-8 hours/week for their AI/ML bootcamp.

How a Program Like BetterMind Labs Builds a Competitive Resume

Two people sit in a cozy room, smiling and engaged in conversation. One holds a tablet, taking notes. The atmosphere is warm and inviting.

As a college counselor, I often tell my students: you need both substance (skills + outputs) and story (how you talk about them) to stand out. Programs like BetterMind Labs can help in both respects. Here’s how parents and students can use them effectively.

1. Use Vinay’s Example as a Template

Vinay leveraged an AI/ML project that:

  • Was challenging enough to show depth.

  • Ended in something usable (UI, deployment).

  • Had novelty (stock prediction), not just redoing what many do.

You don’t need to replicate exactly but pick something you care about (finance, environment, health, etc.), and build it well.

2. Show Growth & Learning

Colleges love when students don’t just stop at “I built this” but reflect: what failed, what changed, what you would do differently. That displays critical thinking. Keep versions, document your journey.

3. Get Good Mentors & Recommendations

BetterMind Labs offers mentors who are industry professionals. If you build a good working relationship, they can write strong letters of recommendation (LOR) and be sources for interviews or future opportunities. When applications see a mentor from real AI/ML work, that carries weight.

4. Use the Certificate & Portfolio Strategically

  • Put your project in your Common App, resume, LinkedIn.

  • Use it to answer “why AI?” or “why CS?” essays with real examples.

  • If possible, publish or present (even in school fairs, competitions).

5. Balance with Other Strengths

Yes, these AI projects are impressive. But colleges also look at GPA, extracurriculars, leadership, community service. Don’t let your grades slip. And try to integrate your AI work with your interests (e.g., using AI for social good, finance, environmental activism) to show interdisciplinarity.

Conclusion

Hand holding a smartphone displaying stock graphs, with a tablet showing similar charts in the background. Bright colors and financial data visible.

Vinay’s stock-prediction AI built in BetterMind Labs is more than just a cool tech project it’s a proof of mindset, effort, and real skill. If your student is considering similar AI/ML work, here’s what I hope you take away:

  • Real projects + mentor support matter far more than flashy brand names or just watching videos. BetterMind Labs yields both.

  • Avoid the common pitfalls: shallow projects, lack of documentation, poor time management.

  • Use the outcomes (project, certificate, LOR) smartly in college applications. Tell a story, show growth.

Group of five people in glasses focused on a laptop. Text reads: "Know more about AI/ML Program at BetterMind Labs." Orange "Learn More" button.

If you’re curious about BetterMind Labs look at their website, talk to alumni (like Vinay), see their sample projects. Don’t take my word for it explore. If you want, I can also send you a comparison of a few top programs side-by-side (cost, outcomes, etc.) so you can decide whether BetterMind Labs is the right fit for your student.

 
 
 

Comments


Maansi Murali Prasad

AI Healthcare Bot

I never explored much into AI or coding. This opened my eyes to a whole new world!

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