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    Home»Machine Learning»From Proof‑of‑Concept to Production‑Ready: My End‑to‑End Pokémon Battle ML App | by lmno3418 | May, 2025
    Machine Learning

    From Proof‑of‑Concept to Production‑Ready: My End‑to‑End Pokémon Battle ML App | by lmno3418 | May, 2025

    Team_AIBS NewsBy Team_AIBS NewsMay 18, 2025No Comments3 Mins Read
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    “A mannequin is barely as highly effective because the expertise that surrounds it.”

    PokeDex WebApp QR

    In my closing yr, I constructed an finish‑to‑finish machine studying undertaking as a proof of idea, showcasing my mannequin‑constructing and integration abilities. I scored 190/200 in undertaking‑based mostly studying — but I couldn’t assist however really feel that my plain entrance finish value me these additional 10 marks. Decided to raise the person expertise and produce my imaginative and prescient absolutely to life, I returned to the undertaking with contemporary eyes and new applied sciences in hand.

    Whereas the core of my undertaking — a Pokémon battle predictor powered by a Random Forest mannequin — was stable, the person interface was useful at finest:

    • No visuals or animations to have interaction customers
    • Fundamental HTML/CSS with minimal styling
    • Restricted navigation and no actual knowledge exploration

    These shortcomings motivated me to offer the applying a closing contact: remodeling it from a working idea to a cultured product.

    1. Photos & Animations
      I added dynamic visuals all through the app — animated sprites, hover results, and transition animations — to deliver the Pokédex and battle screens to life.
    2. Improved UI/UX
      A contemporary, responsive design now adapts seamlessly to desktops, tablets, and cellular gadgets. Clear layouts and intuitive controls guarantee customers can concentrate on battling, not on determining how the app works.
    3. Safe Consumer Authentication
      Carried out a full login and registration system backed by PostgreSQL. Passwords are securely hashed, classes are managed safely, and customers have private entry to their battle historical past.
    4. Complete Pokédex
      The app now hosts knowledge on tons of of Pokémon, together with photos, sorts, skills, and evolution chains — all retrievable by way of a clear, searchable interface.
    5. Superior Filtering Choices
      Customers can filter Pokémon by sort, base stat ranges, skills, and extra. Discovering the proper group member is now fast and simple.
    6. Detailed Pokémon Statistics
      Every Pokémon’s web page shows base stats, transfer units, egg teams, and evolutionary knowledge — empowering customers to make knowledge‑pushed decisions of their battles.
    • Kaggle Pocket book: “Random Forest with 75% Accuracy”
    • Kaggle Dataset: “Merged Pokédex Pokémon Information”
    • Medium Weblog: “Why Are Timber So Cool? The Magic of Tree‑Primarily based Fashions”

    Be happy to learn by the content material, upvote on Kaggle, and go away a clap on my weblog!

    Render (Authentic Deployment)

    Professionals: Straightforward setup, free PostgreSQL tier

    Cons:

    • After quarter-hour of inactivity, the server would sleep
    • The free database tier expired after 30 days, making it unreliable for a reside demo
    • Due to these limitations, I selected to not share a reside hyperlink — my app would have stopped working shortly after individuals tried it.

    Supabase
    To beat the time‑certain database problem, I migrated authentication and storage to Supabase, an open‑supply BaaS constructed on PostgreSQL. Supabase supplied:

    • No expiration on free tier initiatives
    • Constructed‑in authentication, storage, and actual‑time database options
    • A seamless developer expertise for mini‑initiatives

    AWS EC2
    A minor itch remained: server idleness. Enter my brother, Atharv Mali — an aspiring DevOps engineer. He helped me redeploy the applying on an Amazon EC2 occasion, eliminating idle‑sleep points altogether and making certain the app stays on-line 24/7.

    Revisiting this undertaking has been an unimaginable journey of studying and progress. From visible polish to backend robustness, I’ve explored:

    • Fashionable entrance‑finish methods (animations, responsive design)
    • Safe authentication workflows
    • Hosted database options past free‑tier constraints
    • Cloud deployment on AWS

    Now, I invite you to play with the app, check out completely different Pokémon battles, and share your suggestions within the feedback. Your insights will assist me proceed enhancing — and hopefully encourage you in your individual finish‑to‑finish ML adventures!

    Thanks for studying, and pleased battling!

    UI PokeDex
    UI of PokeDex



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