ESP32-S3 Bench Guide
ESP32-S3 N16R8 bench guide: live pinout, lessons, simulators and the bench log.
Explore the hidden architecture, numerical patterns, linguistic DNA, and public composition of the Quran with interactive visualizations.
AI translation
Kur'an'ın gizli mimarisini, sayısal örüntülerini, dilsel DNA'sını ve halka kompozisyonunu interaktif görsellerle keşfedin.
EducationJavaScript · HTMLGitHub @serdarbozoglanOnlineOwner unconfirmed
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About QuranCodex website
Translation pending
Taken from the repository README
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A bilingual (Turkish/English) Qur'an study platform built with Next.js. It pairs a standard reading mode with a set of interactive "atlas" and "tool" pages — word-frequency and rhetoric explorers, cross-surah connection maps, prophet/story atlases, and deep-dive pages on individual surahs — each built from cited classical tafsīr and contemporary academic sources. A retrieval-augmented "Sor" (Ask) assistant lets readers query the site's own corpus of verses, translations, and study content directly.Read the full README ↗
A bilingual (Turkish/English) Qur'an study platform built with Next.js. It pairs a standard reading mode with a set of interactive "atlas" and "tool" pages — word-frequency and rhetoric explorers, cross-surah connection maps, prophet/story atlases, and deep-dive pages on individual surahs — each built from cited classical tafsīr and contemporary academic sources. A retrieval-augmented "Sor" (Ask) assistant lets readers query the site's own corpus of verses, translations, and study content directly.
/tr/..., /en/...)framer-motion for scroll-driven reveals on the atlas/tool pagesnext/scripts/build-embeddings.mjs)
backing the /sor conciergecd next
npm install
npm run dev
The app expects a few environment variables (API keys for the AI-backed
features, a KV/Redis store) — see next/.env.local for the variables this
project reads; you'll need your own values there before those features
work.
The application code is MIT-licensed — see LICENSE.
The site's written content (study notes, comparative analysis, and article
text served from next/public/) is licensed separately and is not
covered by the MIT grant — see CONTENT-LICENSE.md for why and what terms
apply.