Machine Learning Technology

Detect Gambling Content
Using Machine Learning

A Machine Learning based detection system to accurately detect gambling
content within seconds.

Start Detection Learn More
95%+
Model Accuracy
20K+
Training Data
2
AI Models
About System

Why Choose BetScan AI?

Our gambling detection system integrates Natural Language Processing for text analysis and Convolutional Neural Networks for image scanning to provide high accuracy in identifying complex gambling content.

Accurate Detection
Machine learning model trained with thousands of datasets to produce accurate and precise detection.
Instant Result
Get fast and accurate detection results within seconds using an optimized Machine Learning model designed.
Detailed Education
Each detection result is accompanied by detailed information and recommendations for appropriate handling actions.
No Registration Required
100% Free to Use
Unlimited Scanning
Privacy Safety
Technology

Supported by Advanced ML

Our system uses advanced machine learning algorithms trained with thousands of datasets to provide accurate results.

Natural Language Processing
Text extraction and sentiment classification of gambling-indicated content using the IndoBERT model.
IndoBERT
Convolutional Neural Network
Deep visual identification of gambling images, banners, and logos using Faster R-CNN.
Faster R-CNN
Content-Based Filtering
Provides action recommendations such as blocks or warnings based on detection results and user risk profiles.
Smart Action Recommendation
Laravel Framework
PHP framework based on MVC architecture to ensure the best system performance and structured data management.
Modern Web Engine
Hasil Deteksi Bounding Box
Start Detection

Form Detection & Recommendation

Complete the information below and enter text or upload an image (or both) to receive accurate and comprehensive detection results.

User Information
User Profile
Select your job category
Student
University Student
Worker
Researcher
Input Content
Text / image
or
Drag & Drop Image
Or click to select file from device
Format: PNG, JPG, JPEG
Preview
Detection Result
ML analysis will appear here
Detection Result
Fill in the form above to see the detection results.