Digital Learning Platform for Rural Area: An Android-based AI-assisted Educational Ecosystem with Role-based Access Control and Firebase Push Notifications
Keywords:
AI chatbot, Android, Digital learning platform, Document summarization, EdTech, Firebase cloud messaging, Groq API, PHP-MySQL, Role-based access control, Rural educationAbstract
This paper presents the design, implementation, and functional evaluation of the Digital Learning Platform for Rural Areas, an Android-based educational application developed to bridge the persistent digital divide between rural students and quality academic resources. The platform adopts a dual-portal, role-based architecture providing distinct interfaces for teachers and students. Teachers manage the distribution of multi-format educational content — text notes, PDF documents, and video lecture metadata — targeted to specific departments and academic years, while students access distributed materials and engage with two integrated artificial intelligence tools: an AI-powered document summarizer and a real-time academic doubt-solving chatbot, both powered by the Groq language model via a PHP middleware layer. Student access to platform resources is gated behind a teacher-controlled approval mechanism, ensuring institutional security and content integrity. Firebase Cloud Messaging delivers targeted push notifications to student groups using a department-and-year topic naming convention, confirmed effective on Android 13+ during testing. The Android application is developed in Java using an activity-based architecture, with Volley handling standard REST API communication and OkHttp3 managing streaming connections for the AI chatbot. A PHP-MySQL backend hosted at tsm.ecssofttech.com provides user management, content metadata storage, and AI request routing. In-app PDF rendering is delivered through Android-PDF-Viewer, and text extraction for AI summarization is performed using PDFBox-Android. Cleartext traffic support and legacy storage configurations ensure compatibility with low-end Android devices commonly used in rural communities. System testing confirmed correct operation of all primary functional flows, including role-based authentication, content distribution, AI summarization, chatbot interaction, notification delivery, and student approval management.
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