about_me.txt — Notes
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YOIHEN ELANGBAM Data Analyst · Bengaluru, India status: open to data & analytics roles > I turn messy operations data into decisions people act on. EDUCATION Manipal Institute of Technology BTech, Data Science Engineering · 2026 CGPA 7.24 · DSA, ML, Big Data, DBMS LEADERSHIP Founder, North Eastern Students Association, Manipal (40+ members) Sergeant at Arms, Amazon Bangalore Toastmasters English Teacher, ENGin RECOGNITION Dragon 100 Delegate · Hong Kong 2026 Phoenix Fellowship · Hong Kong 2025 Delegate for India, HPAIR · Bangkok 2024
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Experience
Address
C:\Yoihen\Experience
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    Projects
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    C:\Yoihen\Projects
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    CookNoBook — Web Browser
    Address
    https://cooknobook.com
    Go ↗
    CookNoBook recipe grid screenshot

    CookNoBook

    Recipes as a visual grid: ingredients run down the left and each step spans the ingredients that go into it, so you see the whole dish at a glance. Claude writes any dish on demand, and it's built to stay cheap enough to run on a free tier.

    CHAPTER 1 Paragraphs are hard to cook from You lose your place mid-step and miss what needs prepping in parallel.
    CHAPTER 2 So I made recipes visual Each recipe is a tree (ingredients feed steps, steps feed the dish) shown as a grid, flow graph or cards.
    CHAPTER 3 AI made any dish possible Claude writes recipes straight into that structure, branches and all. TheMealDB is the fallback.
    CHAPTER 4 Then: affordable and abuse-proof A public AI app costs money per request, so I engineered the costs and the abuse out.
    Keeping AI costs under control
    • Library recipes first, then saved ones; Claude is only called when nothing else has the dish.
    • Fuzzy dish matching ("lasagna" = "lasagne") so the same dish is never paid for twice.
    • Library pre-filled with Anthropic's half-price Batch API.
    • Per-visitor rate limit, daily caps and an hourly circuit breaker protect the budget.
    • Every call logs its token use; /api/health reports cost per recipe.
    Bot & abuse protection
    • Cloudflare Turnstile guards anything that costs money; passing it issues a signed HttpOnly cookie.
    • Limits apply per IP and per pass, so switching addresses doesn't get around them.
    • Slow and flooding connections are capped.
    Under the hood
    • Self-fixing library: after 3 visitor reports, an AI recipe is pulled and rewritten with the complaints included, at most once a week per dish.
    • SEO without a framework: the server writes titles, share previews and schema.org Recipe data into each page, plus a sitemap; no JavaScript needed to index.
    • Few dependencies: Python backend whose only package is anthropic; plain JavaScript, no build step; self-hosted fonts, no calls to Google.
    • Storage that survives restarts: Upstash Redis keeps saved recipes through deploys on Render's free plan; rare recipes expire, popular ones are promoted to the library.
    Headline features
    Three views of one recipeGrid, flow graph and step-by-step cards.
    Any dish on demandClaude writes it in structured form, with branching steps.
    Cooking modeTimers, unit conversion, read-aloud steps, screen kept awake (Wake Lock).
    AccessibleDark/light themes, Atkinson Hyperlegible easy-reading mode, adjustable text size.
    Python · anthropic · vanilla JS · Upstash Redis · Cloudflare Turnstile · Render
    Done
    Toolkit Properties
    Installed components:
    impact.exe — Performance
    $42M
    Cost defect foundEntitlement-capture defect in Amazon US Retail.
    -90%
    Report time3–4 days to 1–2 hours via an Ops Variable chatbot.
    95%
    Model accuracyRandom forest predicting funnel completion at Fidelity.
    -95%
    Prompt tokensCookNoBook's JSON-LD extraction step.
    Processes: 4 · Uptime: since 2024
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    resume.pdf — Document Viewer
    Yoihen_Elangbam_Resume.pdf · 1 page
    Résumé of Yoihen Elangbam
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    Welcome
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    Hi, I'm Yoihen, a data analyst. Click any icon on the desktop to explore my work, or use the start menu below.

    Wallpaper: © Vyacheslav Argenberg, CC BY 4.0