ANUK - Innovation through Context

A.N.U.K.

Augmented Network for Universal Knowledge

We believe that raw data is meaningless without context. ANUK is dedicated to Contextualization—bridging the gap between information and understanding.

In most real-life cases, context is the key to utility. Whether it is discovering the precise moment a word is spoken in a video search, learning through the rich traditions of Sanskrit scripture, or deriving winning insights for your fantasy football team, ANUK applies intelligent context to solve complex problems.

Vyakhya

Sanskrit Knowledge Assistant. Deep contextual immersion with grammar, Sandhi, and Vibhakti analysis.

LIVE

Anvaya

Private Family Lineage Archival. Secure, high-fidelity genealogical trees with interactive community layout management and auditing.

LIVE

PlayCallr

AI-Powered Fantasy Football Insights. Harnessing context-aware machine learning to deliver winning projections and strategies.

TESTFLIGHT NOW

Samvada

Conversational Sanskrit Immersion. Vocalizing scripture and dialogue through a high-fidelity cloud-synthesized audio agent ecosystem.

IN DEVELOPMENT

Sutradhara

Unified Sanskrit Scholar Workspace. Orchestrating page-specific OCR manuscript digitization, Vyakhya Chat, and expressive voice playback.

IN DEVELOPMENT

SayWhen

Multilingual Video Word Search. Indexing and mapping spoken audio content to locate precise, contextual occurrences instantly.

COMING SOON

Connect

Direct Line: anuk.one.llc@gmail.com

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AnukTek System

Active Deployment Matrix

Project	Core Tech Stack	Where Deployed	Primary Target / Domain	Status
Anvaya V2 (Heritage)	React.js + D3.js + Framer Motion	Vercel (Frontend/App) 💳 Vercel Billing Firebase Firestore (Database/Auth) 💳 Firebase Console	https://anvaya.anuk.one heritage-66224 (GCP/Firebase)	LIVE
Vyakhya (Scholar Assist)	React.js + Python API + Sandhi Engine	Railway (Full Stack App & DB) 💳 Railway Billing	https://vyakhya.anuk.one	LIVE
PlayCallr (Football AI)	Flask API + PostgreSQL + Groq RAG	GCP Cloud Run (Backend App & SQL DB) 💳 GCP Billing	https://playcallr.anuk.one	TESTFLIGHT
Samvada Mobile	React Native (Expo) + Modal + STT API	Modal Cloud GPU (FastAPI Core & GPU Voice) 💳 Modal Billing GCP (Speech-to-Text Engine) 💳 GCP Billing	Expo Client App anuk-one-llc--samvada-backend-fastapi-app.modal.run	IN DEV
Anuk-Brain	Python 3.10+ (FastAPI + Uvicorn)	Gateway Server Self-Hosted / Local	http://localhost:8001	ACTIVE
Anukunified Gateway	Node.js + TS (Unified Worker)	Google Cloud Run (Container) 💳 GCP Billing	anuk-openclaw-worker Local API port: 8080	ACTIVE
SayWhen (Video Search)	Multilingual Video Word Search	Railway (Web Host) 💳 Railway Billing	https://saywhen.anuk.one	COMING SOON
Sutradhara Workspace	React.js + OCR Engine + Vyakhya Voice	Vercel (Frontend) 💳 Vercel Billing	https://sutradhara.anuk.one	IN DEV
Anuk.one Website	Vanilla HTML5 + CSS3 + Node.js (Express)	Railway (Landing Website) 💳 Railway Billing	https://anuk.one	LIVE

Infrastructure Core Google Cloud (GCP)

Serverless Synthesis Modal Cloud GPU

Global CDN Edge Vercel Edge Network

Sanskrit Agent & Voice Ecosystem

Structural Topology & Orchestration Diagram

anuk-studio

Interactive UI Workspace (React + Vite, Port 5173). Hosts manual digitization, editable OCR grids, custom proficiency levels, and direct Sanskrit scholar audio playback cards.

SYNC

▶

Port 8001

anuk-brain

AI Intelligence Engine (Python FastAPI, Port 8001). Executes core model endpoints (OCR, STT, Chat Tutor) and hosts the master orchestrator Sutradhara.

External Clients

Mobile App & Cloud Pipelines (e.g. Samvada Native App). Requires asynchronous, non-blocking execution and heavy voice processing hooks.

ASYNC

▶

Port 8080

anuk-openclaw-worker

Background Queue Gateway (Node + TS, Port 8080). Handles long-running AI queues, queries `anuk-brain` for core text logic, calls high-fidelity GPU voice backends (Modal), and delivers completed payloads via webhooks.

🎭 The Core Role of Sutradhara

Sutradhara is the Master Routing Agent. In Sanskrit drama, the Sutradhara is the string-puller or stage director. In our architecture, it lives as a central agent class within `anuk-brain` (`sutradhara.py`).

Reads natural language user intent coming from either frontend UI or the OpenClaw worker.
Dynamically routes tasks to active domain agents (e.g., Llama-based Vyakhya tutor, sports analytics, or genealogy).

🎙️ The Sanskrit High-Fidelity Voice Pipeline

Voice is crucial for phonetic precision in traditional recitation. We separate generation based on speed versus authentic depth:

Local Synthesizer (Fast): Handled by `anuk-brain` for real-time web interaction, synthesizing standard audible guidance dynamically.
Cloud GPU Recitation (Scholarly): Orchestrated by the Node.js OpenClaw Worker sending text to high-end GPU backends (Parler models running on Modal) to generate immersive, rich male scholar audio recitations.