NLP.js

Deploy NLP.js inside a secure on-premise Node.js container.

Train model on localized medical symptoms.

Process all queries locally behind the hospital firewall.

Output structured JSON to the internal EHR system.

Bundle the trained NLP.js model with the game client.

Use local inference to interpret player typed commands.

Trigger game events based on identified intents.

Maintain NPC state via the Context Manager.

Connect NLP.js to the corporate email ingestor.

Classify emails into 'Billing', 'Tech Support', or 'Sales'.

Extract order numbers and customer IDs using NER.

Route to the appropriate department via internal API.

Train NLP.js on toxicity and profanity datasets.

Run sentiment analysis on every new post submission.

Auto-flag posts with high negative sentiment and toxic intent.

Notify moderators with structured evidence.

Implement the NLP.js Language Identifier at the search bar.

Extract product attributes (color, size) using entities.

Normalize search queries into a standard JSON format.

Query the product database with structured attributes.

Flash a lightweight Node.js runtime to the IoT hub hardware.

Run a pre-trained NLP.js model for device commands.

Map intents to GPIO pin triggers (e.g., 'Turn on lights').

Provide audio feedback using local TTS.

Feed transcription text into the NLP.js pipeline.

Extract key entities like 'Price', 'Timeline', and 'Follow-up'.

Identify 'Buying Intent' vs 'General Inquiry'.

Update the CRM record automatically.