kibali-cell/swahili-sms-filter-android

A full-stack android App project that leverages machine learning to detect and filter spam SMS messages in real-time for Swahili-speaking users. # Swahili SMS Filter A full-stack android application that leverages machine learning to detect and filter spam SMS messages in real-time for Swahili-speaking users. The project consists of a native Android app that performs on-device spam classification using a pre-trained logistic regression model. ## Features - **On-device SMS Spam Detection:** Classify incoming messages as spam or legitimate using a custom pre-trained logistic regression model. - **Real-time Notifications:** Instant alerts about detected spam messages. - **Message History:** Track and review all processed messages. - **SMS Receiver Integration:** Automatic processing of incoming SMS. - **Local Database Storage:** Secure storage of message history. - **User-friendly Interface:** Clean and intuitive UI for easy navigation. ## Project Structure ``` swahili-sms-filter-android/ ├── app/ │ ├── src/ │ │ ├── main/ │ │ │ ├── java/com/example/swahilismsfilter/ │ │ │ │ ├── MainActivity.java # Main application interface │ │ │ │ ├── MessageDatabaseHelper.java # Database operations │ │ │ │ ├── MessageHistoryAdapter.java # RecyclerView adapter for message history │ │ │ │ ├── NotificationHelper.java # Handles system notifications │ │ │ │ ├── SmsProcessingService.java # Background service for SMS processing │ │ │ │ ├── SmsReceiver.java # Broadcast receiver for incoming SMS │ │ │ │ └── SpamClassifier.java # ML model implementation │ │ │ ├── res/ # Android resources │ │ │ └── AndroidManifest.xml # App configuration │ │ └── androidTest/ # Instrumentation tests │ └── build.gradle # App-level build configuration ├── gradle/ # Gradle wrapper ├── build.gradle # Project-level build configuration └── REA …