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Defence tech · Experiment

SENTINEL

Tactical intelligence synthesizer

Awaiting responseSubmitted to the iDEX SPARK grant · Ministry of Defence, India

Capabilities

Offline-first

Runs on local Ollama. No cloud needed. Works in field conditions with no internet.

Threat classification

Auto-categorizes threats: aerial, cyber, supply chain, IED, border, NBC, reconnaissance.

Confidence scoring

Every assessment includes a confidence score. No black boxes — you know what the AI knows.

Multi-source synthesis

Ingests raw field reports, intel briefings, and sensor data. Synthesizes into actionable assessment.

Report generation

Auto-generates formatted reports with IDs, timestamps, and recommended actions.

No data leaves the device

All processing happens locally. Sensitive intel never touches external servers.

Status

  1. Research (done)

    Studied defence AI gaps, threat assessment workflows, and offline ML deployment

  2. Build (done)

    Built the full system — classifier, assessment engine, report generator, UI

  3. Submit to iDEX (done)

    Official submission to iDEX SPARK Grant under Ministry of Defence, India

  4. Awaiting Response (active)

    Submitted. Waiting to hear back from the Ministry of Defence.

  5. Field Deployment (pending)

    If approved — pilot deployment with field units

Simulated demo

A UI preview that runs entirely in your browser. It sorts your text with simple keyword rules and fills in a report template — it is not the real model. The full system runs offline on a local model via Ollama, or on Novita AI.

Try an example:

Simulated output for demonstration only — not a real threat assessment. SENTINEL has been officially submitted to iDEX and is awaiting a response from the Ministry of Defence.