u/AlertCryptographer75

hello
you know that feeling - you finish an amzing anime , open MAL , or crunchyroll , scroll forever and somehow still can't decide what to watch.

so i build a app that will help you to decide via
recommend quiz , aur i have created math formula based on your watching time content in the watchlist analysis everything it will give you 5 picks with similarlity percentage.

to download apk : Release AniMatch v1.0.0 — First Public APK Release · SUTHARG/AniMatch
to vist github for contribution and upgrading the app : https://github.com/SUTHARG/AniMatch

please help me to learn .

i want to publish this in playstore before that i want analysis the feedback and improve the product.

thant you.

I’ve been building AniMatch for the past few months, and it’s finally open source.

What started as a simple anime app became a serious attempt to build a production-style Flutter project focused on clean architecture, scalable design, and a personalized recommendation engine — all across Android, iOS, Web, and Windows.

Built with Flutter, Riverpod, Firebase, Jikan API, AniList GraphQL, Hive, and strict layered architecture, AniMatch follows

UI → Providers → Repositories → Services → APIs

The most interesting part was creating a fully on-device hybrid recommendation engine instead of relying on backend ML:

S(a,u) = α(Content Similarity) + β(Behavioral Match) + γ(Temporal Recency) + δ(Rating) + ε(Novelty)

It includes Standard, Quiz, and Discovery modes, with personalization handled entirely client-side for speed, privacy, and scalability.

Current features include: Mood-based quiz recommendations Cloud-synced watchlist Anime + Manga support “Where to Watch” links

Personal stats dashboard This project has been a huge learning experience, and I’d genuinely love feedback on:

Recommendation engine design Riverpod architecture UI/UX polish Performance optimization

GitHub: https://github.com/SUTHARG/AniMatch

APK URL: https://github.com/SUTHARG/AniMatch/releases

PRs, critiques, and discussions are welcome.

#flutter #dart #opensource #firebase #riverpod