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Smart Local AI brings machine learning directly to the browser. Every ML model runs on-device in the visitor’s or editor’s browser using <a href="https://huggingface.co/docs/transformers.js" rel="nofollow ugc">Transformers.js</a> and WebGPU/WASM. No data is ever sent to external servers, no cloud API keys are needed, and there are zero recurring costs.
<h4>Modules</h4>
RelevantFlow — Semantic Content Recommendations
Traditional related-posts plugins match by shared tags or categories. RelevantFlow uses a sentence-transformer model (all-MiniLM-L6-v2) to understand the meaning of your content and recommend posts that are genuinely related — even when they share no tags at all.
<ul>
<li>Understands synonyms and concepts (e.g. “Salah” and “Islamic Prayer” match)</li>
<li>Works with any content type — Posts, Pages, WooCommerce Products, or custom post types</li>
<li>Displays a responsive card widget below your content</li>
<li>Three layout templates: cards, list, and grid</li>
<li>Custom placement via CSS selector or shortcode <code>[atlas_ai_relevantflow]</code></li>
<li>Theme customization with presets (Default, Light, Dark, Minimal) and custom colors</li>
<li>Embedding index built in-browser by editors — zero server load</li>
<li>Nightly cron flags new/updated content for re-indexing</li>
</ul>
PersonaFlow — Personalized Content Recommendations
PersonaFlow delivers personalized content recommendations based on visitor behavior — like Netflix for your WordPress site. It tracks 30 behavioral signals (scroll depth, reading time, click patterns, etc.) and computes a per-visitor taste vector to surface the most relevant content for each individual visitor.
<ul>
<li>Personalized recommendations powered by real-time behavioral tracking</li>
<li>30 behavioral signals including scroll depth, reading time, and engagement patterns</li>
<li>Per-visitor taste profile computed entirely in the browser — no server-side tracking</li>
<li>WooCommerce integration for product recommendations</li>
<li>Three layout templates: cards, list, and grid</li>
<li>Custom placement via CSS selector or shortcode <code>[atlas_ai_personaflow]</code></li>
<li>Theme customization with presets and custom colors</li>
<li>All tracking data stays on the visitor’s device — fully GDPR compliant</li>
<li>Automatic taste decay ensures recommendations stay fresh and relevant</li>
</ul>
AltGenius — Automatic Alt Text Generation
Missing alt text hurts SEO rankings and violates ADA/WCAG accessibility guidelines. AltGenius generates descriptive alt text for every image in your media library — entirely in the browser.
<ul>
<li>Two AI models: ViT-GPT2 (fast) and Florence-2 (detailed)</li>
<li>Bulk Scan to audit and fix your entire media library at once</li>
<li>Auto-generate on media upload</li>
<li>Editor sidebar panel for per-image control with prefix/suffix</li>
<li>No per-image fees, no cloud processing</li>
</ul>
<h4>Key Features</h4>
<ul>
<li>Zero Cost — No API keys, no subscriptions, no per-request fees</li>
<li>Privacy by Architecture — All ML inference runs in the browser; data never leaves the device</li>
<li>GDPR Compliant — No external data transmission means no DPA required</li>
<li>Shared Hosting Compatible — No server-side ML dependencies; works anywhere WordPress runs</li>
<li>WebGPU + WASM — Hardware-accelerated inference with automatic fallback</li>
<li>Modular — Enable only the modules you need; each can work standalone</li>
<li>Cached Models — ML models are cached in IndexedDB after first download for instant reuse</li>
<li>Themeable — Built-in theme presets and custom color options to match any WordPress theme</li>
</ul>
<h4>Upgrade to Pro</h4>
Get more powerful AI modules and premium features with <a href="https://atlasaidev.com/smart-local-ai-pro/" rel="nofollow ugc">Smart Local AI Pro</a>.
Have questions or need support? <a href="https://atlasaidev.com/contact-us/" rel="nofollow ugc">Contact us</a>.
<h4>How It Works</h4>
All AI processing runs in your browser. No server-side ML is required. On first use, models are downloaded from Hugging Face and cached in the browser’s IndexedDB — this one-time download may take 1–2 minutes depending on your connection. After that, models load instantly.
RelevantFlow (Related Posts)
<ol>
<li>Go to Smart Local AI > Dashboard and enable the RelevantFlow module (or follow the setup wizard after activation)</li>
<li>Select which content type to index from the Content Type selector on the Dashboard (defaults to Posts)</li>
<li>Go to the RelevantFlow tab and click Build Index — this downloads the MiniLM model (~23 MB) and generates an embedding for each published item of the selected content type</li>
<li>You need at least 2 published items of the selected content type for recommendations to appear</li>
<li>Visit any item on the frontend — a “You Might Also Enjoy” section will appear below the content showing semantically related items</li>
</ol>
PersonaFlow (Personalized Recommendations)
<ol>
<li>Go to Smart Local AI > Dashboard and enable the PersonaFlow module</li>
<li>Go to the PersonaFlow tab to configure display settings (number of recommendations, layout template, appearance)</li>
<li>Visit posts on the frontend — PersonaFlow will track reading behavior and build a taste profile</li>
<li>After a few page views, personalized recommendations will appear below the content based on the visitor’s interests</li>
<li>Use the shortcode <code>[atlas_ai_personaflow]</code> to place recommendations anywhere in your theme</li>
</ol>
AltGenius (Image Alt Text)
<ol>
<li>Go to Smart Local AI > Dashboard and enable the AltGenius module</li>
<li>Upload an image via Media > Add New Media File — the model downloads on first use (~300 MB for ViT-GPT2) and alt text is generated automatically</li>
<li>Or go to Smart Local AI > Bulk Alt Text and click Start Bulk Scan to generate alt text for all existing images missing it</li>
<li>Or edit any post with images in the Block Editor — the AltGenius sidebar panel shows each image with a Generate Alt Text button</li>
</ol>
<h3>External Services</h3>
This plugin connects to the following external services. No user data or site content is transmitted to these services — only the ML model files are downloaded.
<h4>Hugging Face Model Hub</h4>
ML models are downloaded from the Hugging Face Model Hub (<code>https://huggingface.co/</code>) on first use and cached in the browser’s IndexedDB. The following models are used:
<ul>
<li>RelevantFlow: <code>Xenova/all-MiniLM-L6-v2</code> (~23 MB) — Sentence transformer for content embeddings</li>
<li>AltGenius (ViT-GPT2): <code>Xenova/vit-gpt2-image-captioning</code> (~300 MB) — Image captioning model</li>
<li>AltGenius (Florence-2): <code>onnx-community/Florence-2-base-ft</code> (~460 MB) — Advanced image captioning model</li>
</ul>
These models are open-source and licensed under Apache 2.0 or MIT. No user content, images, or site data is uploaded to Hugging Face — the connection is download-only.
<ul>
<li><a href="https://huggingface.co/terms-of-service" rel="nofollow ugc">Hugging Face Terms of Service</a></li>
<li><a href="https://huggingface.co/privacy" rel="nofollow ugc">Hugging Face Privacy Policy</a></li>
</ul>

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