Overview:

• Android healthcare application designed to help nurses build self-awareness and prevent burnout, integrating REST APIs, Room offline storage, Retrofit networking, biometric authentication, Firebase notifications, progress analytics, daily challenges, community features, and gamified wellness experiences.

Platform:

• Android

Tech Stack:

• Core: Kotlin, XML Layouts
• Data: Room
• Networking: Retrofit, REST APIs
• Firebase: Firebase Cloud Messaging (FCM)
• Security: Biometric Authentication

Features:

• Progress Analytics & Charts
• Daily Challenges
• Community (Following/Followers)
• Games & User Engagement
• Biometric Authentication
• Push Notifications
• User Profile Management
• Activity Recommendation

Screenshots:

Note: Source code and production data are not publicly available.

Overview:

• Feature-rich Android health and wellness application developed in Java, integrating REST APIs for seamless synchronization with the web platform, offline storage using Room, Retrofit networking, barcode and image-based food recognition, AI-powered chat, voice-guided navigation, nutrition tracking, goal management, and real-time progress analytics.

Platform:

• Android

Tech Stack:

• Core: Java, XML Layouts
• Data: Room Database
• Networking: Retrofit, REST APIs
• Recognition: Barcode Scanning, Image Recognition
• Firebase: Firebase
• Security: Biometric Authentication

Features:

• Barcode-Based Food Recognition
• Image-Based Food Recognition
• Nutrient & Calorie Tracking
• Calorie Calculator
• Diet Management
• Lifestyle Management
• Genetics Management
• Weight Loss/Gain Goal Tracking
• Progress Analytics & Charts
• AI Chat Assistant
• Voice-Guided Navigation
• Community (Following/Followers System)
• Games & User Engagement
• User Profile Management

Screenshots:

Note: Source code and production data are not publicly available.

Overview:

• Modern Android note-taking application developed in Kotlin, featuring secure authentication, note management, profile settings, REST API integration, and a scalable architecture built with MVVM, Hilt, and XML-based UI.

Platform:

• Android

Tech Stack:

• Core: Kotlin, XML Layouts, ViewBinding
• Architecture: MVVM Architecture, Hilt
• Networking: Retrofit
• Concurrency: Coroutines & LiveData

Features:

• User Registration & Login
• Create, View, Edit & Delete Notes
• Backend Synchronization
• REST API Integration

Screenshots:

Source Code:

• View on GitHub
• Download APK from GitHub

Overview:

• Modern Android note-taking application developed in Kotlin using Jetpack Compose, featuring secure authentication, note management, profile settings, REST API integration, and a scalable architecture built with MVVM, Hilt, and Material 3.

Platform:

• Android

Tech Stack:

• Core: Kotlin, Jetpack Compose, Material 3, Navigation Compose
• Architecture: MVVM Architecture, Hilt, State Management
• Networking: Retrofit
• Concurrency: Coroutines & LiveData

Features:

• User Registration & Login
• Create, View, Edit & Delete Notes
• Backend Synchronization
• State Management
• REST API Integration

Screenshots:

Source Code:

• View on GitHub
• Download APK from GitHub

Overview:

• A privacy-first Android AI assistant that runs entirely offline using GGUF language models powered by llama.cpp. Download, switch, and chat with multiple on-device LLMs—no internet required for AI inference after the initial model download. Built with Kotlin, Jetpack Compose, MVVM, Clean Architecture, and JNI.

Platform:

• Android

Tech Stack:

• Core: Kotlin, Jetpack Compose, Material 3, Navigation Compose
• Architecture: MVVM, Clean Architecture, Hilt
• Data: Room, DataStore, OkHttp
• Concurrency: Kotlin Coroutines, Kotlin Flow
• Voice: Android SpeechRecognizer, Android TextToSpeech
• AI: llama.cpp, JNI, GGUF

Features:

• Fully offline AI conversations
• Download and manage GGUF language models
• Switch AI models without restarting the app
• Session-based chat history
• Conversation grouping (Today, Yesterday, This Week, Older)
• Private Chat mode (no chat history)
• AI writing assistant (emails, resumes, rewriting)
• Text summarization
• Language translation
• Programming assistance
• Voice-to-text input
• Text-to-speech playback
• Stop AI response generation
• Copy AI responses
• Share messages and conversations
• Export messages and conversations
• Light / Dark / System theme

Screenshots:

Source Code:

• View on GitHub
• Download Prebuilt APK from GitHub

Overview:

• A modular Android library for on-device LLM inference using GGUF models powered by llama.cpp. Load local language models, stream chat responses, and integrate offline AI into any Android app—no cloud, no API keys, and no data leaving the device. Built with Kotlin, Coroutines, and JNI.

Platform:

• Android

Tech Stack:

• Core: Kotlin, Android SDK, JNI
• Architecture: Modular, Core & Chat Modules
• Concurrency: Kotlin Coroutines, Kotlin Flow
• Distribution: Maven Central, Gradle
• AI: llama.cpp, GGUF, On-device LLM Inference
• Developer Experience: Documentation, Sample Application

Features:

• On-device LLM inference powered by llama.cpp
• GGUF model loading and lifecycle management
• Coroutine-based streaming chat API
• Modular Core and Chat architecture
• JNI bridge for native AI inference
• Fully offline AI inference (no cloud or API keys)
• Simple Gradle integration via Maven Central
• Kotlin-first API with Coroutines and Flow
• Comprehensive documentation and sample application
• Designed for future RAG and Vision modules

Social Preview:

Source Code:

• View on GitHub
• View on Maven Central

Overview:

• Cross-platform news application developed with Kotlin Multiplatform, delivering a seamless experience across Android and Desktop platforms through shared business logic, responsive UI, offline caching, type-safe navigation, and efficient content synchronization.

Platforms:

• Android
• iOS (shared module supports it; not yet verified — no macOS hardware available for testing)
• Tablet
• Desktop (Windows, macOS, Linux)

Tech Stack:

• Core: Kotlin Multiplatform (KMP), Compose Multiplatform (CMP), Kotlin Serialization
• Architecture: MVVM Architecture, Koin
• Data: SQLDelight, DataStore
• Networking: Ktor
• Concurrency: Coroutines, Flow
• UI & Media: Coil 3

Features:

• Cross-Platform Support (Android, iOS, Tablet, and Desktop)
• News Feed & Article Browsing
• Responsive & Adaptive UI
• Offline Article Caching
• Cross-Platform Image Loading
• Modern Material Design UI

Mobile Screenshots:

Tablet Screenshots:

Desktop Screenshots:

Source Code:

• View on GitHub
• Download release from GitHub

Overview:

• AI-powered collaborative storytelling application developed in Flutter, enabling authors and contributors to co-create stories through structured workflows, real-time collaboration, AI-assisted writing, publishing management, real-time chat between author and contributors, and text-to-speech-powered story listening.

Platforms:

• Android
• iOS

Tech Stack:

• Core: Flutter, Dart
• Networking: REST APIs, Dio
• AI: AI Integration
• Voice: Text-to-Speech (TTS)
• Communication: Real-Time Chat

Features:

• Story Creation & Management
• Draft & Publishing Workflow
• Section-Based Collaborative Writing
• AI Writing Assistant
• Real-Time Chat & Messaging
• Story Listening (Text-to-Speech)
• Community (Following/Followers System)
• User Profiles

Screenshots:

Note: Source code and production data are not publicly available.

Overview:

• Web-based management dashboard and API backend developed with CodeIgniter (PHP), providing JWT-secured REST APIs for mobile applications, user management, note administration, and platform monitoring through an AdminLTE-powered dashboard.

Platform:

• Web Application

Tech Stack:

• Core: PHP, CodeIgniter
• Networking: REST APIs
• Security: JWT Authentication, Password Hashing
• Frontend: Bootstrap, JavaScript, AdminLTE
• Database: MySQL

Features:

• JWT-Based Authentication
• REST APIs
• User Management
• Notes Management
• User & Notes Statistics Dashboard
• Create, View, Edit & Delete Users
• View & Delete User Notes
• Admin Dashboard
• Secure Password Hashing

Screenshots:

Source Code:

• View on GitHub

Overview:

• AI-powered health and fitness platform developed with CodeIgniter and MySQL, providing personalized wellness insights, calorie and nutrition tracking, goal management, progress analytics, community engagement, games, and intelligent health recommendations through secure REST APIs.

Platform:

• Web Application

Tech Stack:

• Core: PHP, CodeIgniter
• Networking: REST APIs
• Security: JWT Authentication, Password Hashing
• Frontend: Bootstrap, JavaScript, AdminLTE
• Database: MySQL
• AI: AI Integration

Features:

• Secure Authentication & Profile Management
• JWT-Based Authentication
• Weight Loss, Weight Gain & Maintenance Goals
• Calorie & Nutrition Tracking
• Food & Exercise Logging
• Progress Analytics & Interactive Charts
• Advanced Food Search & Comparison
• AI-Powered Health Recommendations
• AI Health Assistant Chat
• Community (Following/Followers System)
• Top Performers
• Daily Health Challenges
• Games
• Firebase & Email Notifications
• Super Admin Dashboard
• User Management

Screenshots:

Note: Source code and production data are not publicly available.

Overview:

• MERN stack-based backend and administration platform for a collaborative storytelling ecosystem, featuring secure authentication, role-based workflows, AI-assisted content creation, automated moderation, real-time communication, and comprehensive story and user management.

Platform:

• Web Application

Tech Stack:

• Core: Node.js, Express.js, React.js
• Networking: REST APIs
• Security: JWT Authentication, Password Hashing
• Admin Panel: AdminLTE
• Database: MongoDB
• AI: AI Integration

Features:

• Secure Authentication & Account Management
• JWT-Based Authentication
• REST APIs
• AI-Powered Content Moderation
• Story & User Management
• Story Expiration Controls

Screenshots:

Note: Source code and production data are not publicly available.