Navigate Social Media Safely with Cultural MIL Literacy
Ramboo is a privacy-first browser extension for real-time hate speech awareness and micro-MIL education. Built specifically for Indonesian, Javanese, and English digital spaces — with zero cloud servers and 100% local processing.
Notice the "Us vs. Them" framing stereotyping regional identity. How does language influence social cohesion?
100% On-Device
Zero Cloud LoggingAll comment scoring happens inside your browser. No server endpoints, no telemetry leaks.
1.2 MB Model Size
< 5ms Inference TimeBlazing-fast TF-IDF + Multi-Head Logistic Regression compiled into a tight JSON weight bundle.
Multilingual & Dialects
ID, JV & EN SupportSpecially tuned for regional Indonesian & Javanese idioms, slurs, and code-mixed online chatter.
UNESCO MIL Framework
Micro-Literacy NudgesReplaces toxic noise with critical thinking prompts, rhetorical pattern analysis, and reflection.
Test Ramboo's Classifier Live
Select a sample comment or type your own to see how Ramboo processes harm detection, sarcasm recognition, and UNESCO MIL reflection prompts in real time.
Notice the use of regional identity slurs to create societal divisions. How does stereotyping affect digital community safety?
Why Ramboo Sets the New Standard
Combines local machine learning, cultural empathy, and Media & Information Literacy (MIL) into a non-censoring, user-controlled browser extension.
100% On-Device ML Engine
Executes TF-IDF vectorization and multi-head logistic regression locally in under 5 milliseconds. No text ever leaves your browser window.
Indonesian & Javanese Dialect Awareness
Specifically trained on regional expressions, code-mixed dialects (Surabaya, Yogyakarta, Semarang), and localized slang that standard classifiers miss.
Micro-MIL Educational Nudges
Instead of blunt censorship, Ramboo presents contextual reflection cards that build long-term critical thinking and media literacy skills.
Custom Sensitivity Sliders
You control what gets flagged. Adjust sensitivity per harm category (identity attacks, harassment, profanity, political debate) from 0 to 100.
Granular Domain Control
Seamless integration with X/Twitter, YouTube, Reddit, Instagram, Facebook, and major Indonesian news portals (Kompas, Detik, Tempo).
Sarcasm & Counter-Speech Aware
Distinguishes between genuine identity attacks, sarcastic mock praise, and constructive counter-speech to prevent annoying false positives.
How Ramboo Operates 100% On-Device
By compiling our machine learning classifier into a compact JSON weight matrix, Ramboo performs inference directly in your browser without external servers.
Inference Execution Pipeline
DOM Adapter Selection
Content script observes comment nodes on X, YouTube, Reddit, Instagram, Facebook, and news portals. Skips strings < 5 characters.
On-Device TF-IDF Engine
Extracted text is tokenized into word n-grams and evaluated against multi-head logistic regression weights in < 5 milliseconds.
Context Card & Micro-MIL
Applies CSS blur, surfaces category scores, and injects UNESCO reflection prompts via isolated Shadow DOM elements.
ramboo-extension
The Manifest V3 browser extension installed by users. Contains platform adapters, Shadow DOM context cards, onboarding calibration, and settings dashboard.
ramboo-ml
The machine learning training pipeline. Generates synthetic corpora, trains multi-head classifiers, evaluates counter-speech accuracy, and exports JSON model weights.
Tailored to Your Personal Sensitivity Boundaries
When you first install Ramboo, a 10-scenario calibration quiz builds your personal Content Preference Profile. You can recalibrate or adjust sliders anytime.