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References

Sources, credits & technology

Where our information comes from, what we built with, and our declaration of original design.

Framework declaration

Built from scratch — no templates, no themes

This website was developed using Next.js, React, TypeScript, and Tailwind CSS. All page layouts, visual designs, components, and themes used in this website were created specifically by the team and were not derived from pre-built website templates or themes.
  • Original design systemOur color tokens, typography scale, “transit line” theme, badge stamps and components were designed for this project.
  • Hand-built visualsEvery diagram, route map and illustration is original SVG/CSS. No stock photos, templates or pre-assembled UI kits.
  • Libraries for primitives onlyFrameworks provide routing and styling tools; the icons come from the open-source Lucide set. Layouts are ours.

Content sources

Where our facts come from

Lesson text, examples, quiz questions and interactive labs were written by our team. The sources below support the factual statements in the lessons; each lesson lists the sources it relies on. Citations follow MLA 9 style.

Link checked on the date shown Team must confirm before submission

  1. CourseChecked 24 Sept. 2026

    University of Helsinki and MinnaLearn. “Elements of AI.” Free online course, www.elementsofai.com/ (opens in a new tab). Accessed 24 Sept. 2026.

    Used for: Plain-language definitions of AI and machine learning; limits of AI (Line 1, Line 2).

  2. WebsiteChecked 24 Sept. 2026

    AI4K12 Initiative (AAAI and CSTA). “Five Big Ideas in Artificial Intelligence.” AI4K12.org, ai4k12.org/ (opens in a new tab). Accessed 24 Sept. 2026.

    Used for: Framing AI concepts at a K–12 level: perception, representation, learning, interaction, societal impact.

  3. CourseChecked 24 Sept. 2026

    Google for Developers. “Machine Learning Crash Course.” developers.google.com, developers.google.com/machine-learning/crash-course (opens in a new tab). Accessed 24 Sept. 2026.

    Used for: Supervised learning, labels, features, training vs. inference (Line 1).

  4. Video seriesChecked 24 Sept. 2026

    Grant Sanderson (3Blue1Brown). “Neural Networks.” 3Blue1Brown video series, www.3blue1brown.com/topics/neural-networks (opens in a new tab). Accessed 24 Sept. 2026.

    Used for: Conceptual explanation of neurons, weights, layers and learning (Line 1).

  5. PaperChecked 24 Sept. 2026

    Ashish Vaswani et al.. “Attention Is All You Need.” Advances in Neural Information Processing Systems 30 (NeurIPS 2017); arXiv:1706.03762, 2017, arxiv.org/abs/1706.03762 (opens in a new tab). Accessed 24 Sept. 2026.

    Used for: The transformer architecture behind today's large language models (Line 1).

  6. ReportChecked 24 Sept. 2026

    National Institute of Standards and Technology (NIST). “Artificial Intelligence Risk Management Framework (AI RMF 1.0), NIST AI 100-1.” U.S. Department of Commerce, 2023, doi.org/10.6028/NIST.AI.100-1 (opens in a new tab). Accessed 24 Sept. 2026.

    Used for: Trustworthy AI characteristics, managing AI risk, and the role of human oversight (Lines 1–3).

  7. ArticleChecked 24 Sept. 2026

    Mike Caulfield. “SIFT (The Four Moves).” Hapgood (blog), 2019, hapgood.us/2019/06/19/sift-the-four-moves/ (opens in a new tab). Accessed 24 Sept. 2026.

    Used for: The SIFT verification moves: Stop, Investigate the source, Find better coverage, Trace claims (Lines 2–3).

  8. PaperChecked 24 Sept. 2026

    Joy Buolamwini and Timnit Gebru. “Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification.” Proceedings of the 1st Conference on Fairness, Accountability and Transparency, PMLR 81, pp. 77–91, 2018, proceedings.mlr.press/v81/buolamwini18a.html (opens in a new tab). Accessed 24 Sept. 2026.

    Used for: Evidence that facial analysis systems performed unequally across skin type and gender (Line 3: Bias).

Image / media sources

Images, icons & fonts

Media credits
AssetCreatorLicenseUsed for
Diagrams, route maps, badge stamps, logo and illustrationsCreated by our team in SVG, HTML and CSSOriginal workEvery diagram and illustration on the site. No stock photos or AI-generated images are used.
Lucide icons (lucide-react) (opens in a new tab)Lucide contributorsISC LicenseInterface icons (arrows, checkmarks, badge symbols).
Bricolage Grotesque (opens in a new tab)Mathieu Triay (via Google Fonts)SIL Open Font License 1.1Display headings.
Atkinson Hyperlegible Next & Atkinson Hyperlegible Mono (opens in a new tab)Braille Institute of America (via Google Fonts)SIL Open Font License 1.1Body text and labels — chosen for legibility for low-vision readers.

Software / technologies

Technology & frameworks

No external AI service or API is used. Every “AI” you see in the labs is a small, deterministic simulation written by our team so the site works offline and gives the same result every time.

Standards & competition

Guidelines we followed

Link checked on the date shown Team must confirm before submission

  1. WebsiteVerify before submission

    Technology Student Association. “High School Competitive Events Guide — Webmaster (2026–2027 theme: AI Learning Portal).” tsaweb.org, tsaweb.org/ (opens in a new tab).

    Used for: Competition requirements this portal was built to meet.

  2. WebsiteChecked 24 Sept. 2026

    W3C Web Accessibility Initiative. “Web Content Accessibility Guidelines (WCAG) Overview.” w3.org, www.w3.org/WAI/standards-guidelines/wcag/ (opens in a new tab). Accessed 24 Sept. 2026.

    Used for: Accessibility targets: contrast, keyboard access, focus visibility, reduced motion.