---
title: Prem
emoji: 🔥
colorFrom: red
colorTo: yellow
sdk: static
pinned: false
short_description: In device co-pilot
---
# Premithius V0.0.3
**India-First On-Device AI Security | Zero LLM Footprint | ARMadillo Architecture**

Premithius is an uncompromising, edge-native security layer for Android devices. Designed specifically for the Indian cybersecurity context, it proactively intercepts sophisticated threats like ₹1 collect requests, Aadhaar/PAN data leaks, and zero-day scams before they ever reach the user's eyes—all without sending a single byte of personal data to the cloud.

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## 🛡️ Kavacha Engine (5-Layer Defense)
Inspired by NVIDIA's ARMadillo architecture, Premithius utilizes a DOCA FLOW-style early-exit pipeline. This ensures maximum efficiency, allowing standard traffic to pass cleanly while trapping anomalies with progressive computational weight.

1. **Layer 0 (Whitelist):** Immediate pass for trusted, verified senders.
2. **Layer 1 (India Threat Pack):** Hardened heuristic rules targeting specific local threat vectors (see below).
3. **Layer 2 (Vector Similarity):** Sub-millisecond KNN semantic search against offline scam embeddings using `sqlite-vec` (ARM NEON accelerated).
4. **Layer 3 (Random Forest):** A lightweight trained ensemble classifier exported to pure Dart via `m2cgen`. Trained on the HuggingFace `india-spam-sms` dataset with 13 custom numerical and categorical features. Scales dynamically during high-risk festival periods.
5. **Layer 4 (MobileBERT):** Our final deep-learning fallback layer. Integrates the `mrm8488/bert-tiny-finetuned-sms-spam-detection` model running locally via `tflite_flutter` and a custom-built native Dart WordPiece tokenizer.

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## 🇮🇳 India Threat Pack
Premithius is built for the ground reality of Indian digital fraud:

*   **UPI Firewall:** Natively catches the classic "₹1 collect request" marketplace fraud, scanning for suspicious VPA usage and urgency indicators.
*   **OTP Context Verifier:** Intercepts incoming OTP messages and cross-references them against the active foreground application to prevent OTP-forwarding phishing.
*   **Aadhaar/PAN Data Shield:** A final line of defense baked directly into the custom Premithius Keyboard, warning users *before* they inadvertently send sensitive documents to untrusted contacts.
*   **Festival Calendar:** Scam volume spikes ~340% during major holidays. The pipeline dynamically adjusts its sensitivity multiplier during these critical windows.

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## 🚀 Edge-Native & Privacy First
*   **Zero LLM Overhead:** V0.0.3 maintains a tiny footprint by running Random Forest directly in Dart arithmetic and utilizing a highly optimized, quantized BERT module instead of a 900MB Qwen2 model.
*   **Data Shield Insights**: A custom Android native Kotlin telemetry layer continuously and securely queries `AppOpsManager` and `UsageStatsManager` in the background. It surfaces hardware access events (Mic/Camera) and compiles local privacy stories translating background behavior for users.
*   **Home Screen Widget**: A completely native Kotlin AppWidget provides users with 4x2 interactive real-time monitoring of their device's security status, avoiding Flutter engine wakelocks entirely.

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## 🛠️ Build Requirements

*   Flutter SDK (^3.11.1)
*   Android Studio / Android SDK
*   *Note:* The final release build requires the `sqlite-vec-android:0.1.7` dependency. Ensure your Android `build.gradle` is configured with the correct Maven artifact repositories if retrieving `io.github.asg017` fails during compilation.

```bash
# Debug Build
flutter build apk --debug

# Release Build 
flutter build apk --release
```

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*Built for the next billion users. Because security shouldn't require surrendering your privacy.*