Cyberflash SDK_On Device Sensitive Content Detect - Sell Project
Project Overview
Cyberflash SDK: On-Device Content ModerationInstantly 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 Features100% Offl...
Detailed Description
Visual Content & Media
Project Screenshots & Interface
The following screenshots showcase the visual design and user interface of Cyberflash SDK_On Device Sensitive Content Detect:
Screenshot 1: Main Dashboard & Primary Interface
This screenshot displays the main dashboard and primary user interface of the application, showing the overall layout, navigation elements, and core functionality. The interface demonstrates the contemporary design approach and user-centered interface design.
Visual Content Summary
This project includes 1 screenshotno videos, providing comprehensive visual documentation of the browser application. The media content demonstrates the project's user interface design, showcasing both the visual appeal and functional capabilities of the solution.
Technical Specifications & Architecture
Technology Stack & Implementation
Common Questions & Use Cases
Use Cases & Practical Applications
Target Audience & Use Cases
Business Use Cases: This project is ideal for businesses looking to implement a ready-made solution. Perfect for entrepreneurs, startups, or established companies seeking browser solutions.
Project Details
Project Type: Browser
Listing Type: Sell
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.
Technical Architecture
Business Context & Market Position
Development Context & Timeline
Project Development Timeline
This project was created on August 4, 2026 and last updated on September 12, 2026. The project has been in development for approximately 1.3 months, representing 40.257643916609 days of development time.
Development Commitment: The project requires 10-20 hours/week of development time, indicating a part-time level commitment.
Technical Implementation Effort
Next Development Phase: <p>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:</p><ol><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span><strong>Cross-Platform Expansion:</strong> Build bridge libraries for <strong>Flutter</strong>, <strong>React Native</strong>, and <strong>Unity</strong> to tap into the massive cross-platform developer market.</li><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span><strong>iOS Support:</strong> 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"><span class="ql-ui" contenteditable="false"></span><strong>Video Scanning:</strong> Add functionality to auto-detect video files and automatically sample frames at configurable intervals for continuous moderation.</li><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span><strong>Live Camera Integration:</strong> 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"><span class="ql-ui" contenteditable="false"></span><strong>Broader Harm Categories:</strong> Train or swap models to detect additional categories beyond nudity, such as violence, weapons, self-harm, or hate symbols.</li><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span><strong>Hybrid Fallback System:</strong> 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"><span class="ql-ui" contenteditable="false"></span><strong>Drop-In UI Components:</strong> 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>
Competitive Analysis & Market Position
Market Differentiation
Competitive Advantages
Pricing Information
Offer Price: $99 USD
Project Metrics
Average Monthly Revenue: Pre-revenue
About the Creator
Developer: User ID 251873
Key Features
- Listed for sale
Frequently Asked Questions
What is this project about?
Cyberflash SDK_On Device Sensitive Content Detect is a browser project that Cyberflash SDK: On-Device Content ModerationInstantly add content moderation capabilities to your Android app. Cyberflash SDK is a lightweight, fully offline Android library powered by TensorFlow Lite....
How much does this project cost?
This project is listed for sale at $negotiable USD. There's also an offer price of $99 USD.
What's included when I buy this project?
Source code, All related data, Domain name, All related design work.
Why is the owner selling this project?
I am busy with other things and no longer have time to maintain this project.
What are the project's current metrics?
Monthly revenue: Pre-revenue.
How do I contact the project owner?
You can contact the project owner through SideProjectors' messaging system. Click the "Contact" button on the project page to start a conversation about this project.
Is this project still actively maintained?
Since this project is for sale, the current owner may be looking to transfer maintenance responsibilities to the buyer.