AbinetSimeneh16/ethiopian-telegram-safety-detector

Java-based harmful content detection system for Telegram-style messages # Ethiopian Telegram Safety Detector ## Overview Ethiopian Telegram Safety Detector is a Java application that analyzes text messages and detects potentially harmful, scam, or harassment-related content. The project aims to help identify messages that may contain threats, scams, or inappropriate content using keyword and pattern matching. This project is being developed as a learning project in Java and will continue to evolve with more advanced detection techniques. ## Features - Detects harmful messages - Detects scam messages - Detects harassment messages - Supports keyword-based detection - Supports multi-word pattern detection - Reads keywords and patterns from external text files - Interactive console interface - Continues analyzing messages until the user exits - Logs flagged detections with timestamps ## Technologies Used - Java - IntelliJ IDEA - Git & GitHub - File Handling - Object-Oriented Programming (OOP) ## Project Structure ``` src/ └── com/ └── abinet/ └── safetydetector/ ├── Main.java ├── MessageAnalyzer.java ├── DetectionResult.java ├── DetectionLogger.java ├── KeywordRepository.java ├── KeywordFileHandler.java └── RiskLevel.java ``` Project Root ├── src/ │ └── ... ├── harmfulkeywords.txt ├── harmfulpatterns.txt ├── scamkeywords.txt ├── harassmentkeywords.txt ├── detections.txt └── README.md ## Current Status Version 1.2 ### Completed - Keyword detection - Pattern detection - External keyword files - Detection logging - Interactive console application ### Planned - Keyword management menu - Statistics dashboard - JavaFX GUI - PostgreSQL integration - Telegram Bot API - AI-powered message classification ## Future Improvements - Detection logging - Keyword management menu - Statistics dashboard - JavaFX graphical interface - PostgreSQL database support - Telegram Bot integration - AI-based message classification ## Author Abinet Simeneh Worku