MaskAgent logoMaskAgent
ISRO logoSmart India Hackathon 2026 logo

SIH 2026 / Problem ID SIH26171

Let AI see.
Keep data private.

On-device visual perception for lightweight browser agents. MaskAgent understands a web page, masks sensitive context, and acts locally through Ollama.

MaskAgent project mark
100% localAI inference via Ollama
Before AIPII is detected and redacted first
LightweightDOM + visual page understanding

A privacy layer
before intelligence.

Traditional browser agents pass raw page context to an AI service. MaskAgent inserts a deliberate boundary: understand the interface, remove the secrets, then let a local model decide.

01

Web page

The user opens a real page with its content and interface.

02

Scan UI

DOM structure and visible elements are mapped for context.

03

Detect PII

Names, email, phone, address and password fields are identified.

04

Redact

Private values become safe placeholders before inference.

05

Act locally

Ollama chooses a browser action from the sanitized context.

Small agent.
Serious guardrails.

Built for useful browser automation without unrestricted access to personal information. Every action stays legible to the person using it.

◉ / 01

Privacy-preserving processing

Redacts sensitive UI values before they enter an AI prompt.

⌁ / 02

DOM + visual understanding

Combines page structure with visible UI signals to find the right target.

↗ / 03

Local browser actions

Supports CLICK, TYPE, SCROLL, SELECT and DONE through a local model.

▤ / 04

Human-readable activity

An activity stream shows scans, redaction, decisions and execution.

⌬ / 05

Action validation

Checks whether a target exists and an intended action is relevant.

∞ / 06

Research-ready foundation

Designed to grow toward OCR, prompt-injection defense and cross-browser support.

CONCEPT &
WORKING DEMO

A working prototype is easiest to understand when the privacy boundary is visible. Watch both videos, then explore the interface captures below.

MaskAgent working demo VIDEO / 01
MaskAgent concept VIDEO / 02
MaskAgent privacy detection interface
Privacy detection interface CAPTURE / 03
MaskAgent agent activity stream
Agent activity stream CAPTURE / 04
The MaskAgent team

The people behind the prototype

Built for the next web.

MaskAgent is a Smart India Hackathon 2026 project exploring how browser agents can be capable and privacy-conscious at the same time.

“Private information should be protected before AI processing, not after it.”

Technology stack

  • Interface: HTML, CSS, JavaScript, Chrome Extension APIs
  • Inference: Ollama with DeepSeek-Coder
  • Browser: Chrome, Brave and Chromium-compatible browsers

What comes next

  • OCR-based visual PII detection
  • Prompt-injection protection and permissioned actions
  • Structured decisions, better planning and Firefox support