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zevbuild/README.md

Zevbuild

Zevbuild is an independent software studio based in Goa, India. This repository contains the studio website, privacy-first web tools, an offline RetroWave audio player, a Python machine learning and predictive analytics engine, and Cloudflare Pages API functions.

What's in this repository?

Path Description
index.html Main Zevbuild website — dark-themed, privacy-first company portal and product showcase
tools/index.html Embedded tools catalog and navigation hub
tools/matka/ Kalyan Matka ML & statistical predictive analytics engine (Markov chains, recency weighting, seasonal decomposition, walk-forward backtesting, and local web dashboard)
tools/spotify/ Spotify playlist batch-downloader guide and offline RetroWave HTML5 audio player (drag-and-drop local MP3/WAV/OGG/M4A, Web Audio API synthwave Canvas visualizer)
tools/download/ Curated guide to legitimate, privacy-first, and open-source video downloaders and media transcoding utilities (yt-dlp, VLC, HandBrake, Cobalt, etc.)
tools/yt/ Client-side YouTube video and audio fetcher (MP4 720p/1080p, MP3) powered by yt-dlp via Cloudflare Pages edge functions
tools/upi-link-generator/ Browser-based UPI payment link generator & QR code creator for Indian payments
functions/api/ Cloudflare Pages serverless edge functions (yt-download.js, live-kalyan.js, fetch-and-predict.js)
verify_links_and_assets.py Automated link, DOM anchor, and static asset verification crawler harness (zero external dependencies)
404.html, robots.txt, sitemap.xml Smart-routing 404 error handler, crawler rules, and SEO sitemap

The ZevSafe, ZevBlock, ZevSync, and CollegeBus links on the main website point to their separate open-source repositories under the Zevbuild organization; their source code is managed in dedicated repositories.

Run the website locally

From the repository root, start a static HTTP server:

python -m http.server 8000

Then open http://localhost:8000.

Run the verification crawler locally

Verify all internal links, anchors, entry points, and static assets across the repository:

python verify_links_and_assets.py --local-only

For full outbound external link checking:

python verify_links_and_assets.py --check-external

Run the data dashboard locally

The Kalyan predictive analytics dashboard and CLI live in tools/matka/. Install its Python dependencies and start the local server:

cd tools/matka
python -m pip install -r requirements.txt
python main.py --web

The dashboard is served at http://127.0.0.1:8080. For CLI options, statistical models, and dataset schema, see tools/matka/README.md.

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