How much is Cyberflash SDK_On Device Sensitive Content Detect?

Cyberflash SDK_On Device Sensitive Content Detect is listed for sale at $99 USD.

Cyberflash SDK_On Device Sensitive Content Detect - Sell Project

Name: Cyberflash SDK_On Device Sensitive Content Detect
Price: 99 USD
Availability: InStock

Listed August 4, 2026

About Cyberflash SDK_On Device Sensitive Content Detect

Add lightweight 100% offline sensitive content moderation to your Android app.

Cyberflash SDK: On-Device Content Moderation Instantly add content moderation capabilities to your Android app. Cyberflash SDK is a lightweight, fully offline Android library powered by TensorFlow Lite. It runs completely on the user's device—meaning no cloud APIs, zero server costs, and total data privacy. Instead of forcing a rigid UI block, it operates as an intelligent engine that returns a confidence score, giving you complete control over how to handle flagged images. 🚀 Key Features 100% Offline Processing: Zero cloud reliance and maximum user privacy. Lightning Fast: Optimized on-device machine learning using standard TensorFlow Lite. Full Developer Control: You receive the probability score (0.0 to 1.0) and dictate the exact logic to blur, block, or filter. Plug & Play Integration: Drop the SDK into your project and initialize it in just 3 lines of Kotlin code. One-Time Purchase: Pay once and use it forever without subscription fees. 📦 What You Get Compiled SDK module ready for immediate import. Fully functional Demo App source code (Android Studio project). Comprehensive, quick-start PDF documentation. Apache 2.0 License compliance files. ⚙️ Technical Requirements Minimum SDK: Android API 24 (Android 7.0) or higher. Language: Kotlin (Fully interoperable with Java). IDE: Android Studio.

Project details

Next step: The CYBERFLASH SDK has a solid foundation with its on-device inference engine, but there is immense potential to expand its capabilities and market reach. Here are the most lucrative ways a new owner could take this project further:<ol><li data-list="bullet">Cross-Platform Expansion: Build bridge libraries for Flutter, React Native, and Unity to tap into the massive cross-platform developer market.</li><li data-list="bullet">iOS Support: Port the existing TensorFlow Lite model to iOS (or convert it to CoreML) to offer a complete, cross-device mobile suite.</li><li data-list="bullet">Video Scanning: Add functionality to auto-detect video files and automatically sample frames at configurable intervals for continuous moderation.</li><li data-list="bullet">Live Camera Integration: Build direct hooks into Android's CameraX to analyze live viewfinder frames in real-time, preventing users from capturing or uploading unsafe content entirely.</li><li data-list="bullet">Broader Harm Categories: Train or swap models to detect additional categories beyond nudity, such as violence, weapons, self-harm, or hate symbols.</li><li data-list="bullet">Hybrid Fallback System: Build a tiered workflow where the on-device SDK handles 90% of clear-cut cases, while borderline probability scores (e.g., 45%–55%) are automatically routed to a cloud backend or human review dashboard.</li><li data-list="bullet">Drop-In UI Components: Provide developers with pre-built UI widgets, such as a "Moderation Gate" that automatically applies a heavy blur effect to flagged images until a user clicks to reveal them.</li></ol>

For sale

Asking price: $99 USD

What's included

Source code, All related data, Domain name, All related design work

Complete Source Code: Clean, fully commented native Android SDK code (Kotlin/Java). Pre-trained Machine Learning Model: The optimized TensorFlow Lite (.tflite) file tuned for fast, on-device inference. Sample Demo Application: A fully functional sample Android app demonstrating how to initialize the SDK and process images with custom probability thresholds. Documentation: Clear setup guide detailing how to integrate the SDK dependency into any existing Android project. Promotional Design Assets: Original graphics including CodeCanyon preview banners (590x300) and 80x80 thumbnail assets for marketing.

Reason for selling

I am busy with other things and no longer have time to maintain this project.

Project metrics

Average Monthly Revenue: Pre-revenue