boltuix

🚀 Premium App Templates at New Low Prices!

🎯 Build stunning Android & Flutter apps FASTER with top-rated UI kits & AI features by @boltuix!

🔥 Now with limited-time price drops!

🛍️ Explore now: 🔗 https://codecanyon.net/user/boltuix/portfolio

🚀 New Guide! Run Python in Android Apps using Jetpack Compose + Chaquopy 🐍✨ Offline translation, ML models, no server needed! 🔧📱

📖 Step-by-step tutorial here ⬇️ 👉 https://www.reddit.com/r/AndroidDevLearn/comments/1lckuuy/stepbystep_guide_to_set_up_python_with_jetpack/

Join us →

Introducing Android Mastery Pro: Free Offline Android Prep App (Kotlin, Jetpack, DSA) – Feedback Welcome

Hi fellow Android developers,

I recently published Android Mastery Pro, a free learning app focused on Android interview preparation, Kotlin programming, Jetpack architecture, and Data Structures & Algorithms (DSA).

Key Features:

📘 Kotlin fundamentals, OOP, and coroutines

🎨 Jetpack Compose + Clean Architecture (MVVM/MVI)

💼 Real-world Android interview Q&A and scenarios

📊 Core DSA concepts like recursion, sorting, graphs

🔐 Android security practices and design patterns

🖥️ Optimized for tablets and landscape mode

🌐 Works offline with support for 250+ languages

🚫 No ads, no paywalls completely free

We’re currently on v1, and I’m working on adding video tutorials and walkthroughs in future versions based on community interest.

Request:

I’d love your feedback on:

The content quality and coverage for interview prep

Any missing topics or features you'd expect

UI/UX suggestions for readability and usability

📲 Google Play: Android Mastery Pro

🚀 I’m excited to launch: Material UIX – Kotlin Material Design VER 1.3! 📦 Now live on CodeCanyon → https://codecanyon.net/item/material-uix-kotlin-material-design-ver-11/54814328

Material UIX is a powerful Kotlin-based UI library crafted to help both pros and beginners build high-quality Android apps with speed, confidence, and style.

🎨 What's inside version 1.3? ✅ 600+ beautiful screens across 60+ real-world categories ✅ Built using Material 3 for modern, clean design ✅ Fully customizable components – buttons, cards, dialogs, grids ✅ Dark mode, biometric auth, and permission handling out-of-the-box ✅ Smooth Lottie animations, dynamic transitions, and responsive layouts ✅ Utility features: in-app update prompts, shortcuts, Google Play API integrations

🧠 Why it's important for beginners: Many new devs rely on copying code from random sources without understanding how good UI works or how memory/layout affects performance. 💡 With Material UIX, you don’t just copy-paste — you learn by example. ✔️ Understand layout structure ✔️ Learn scalable design patterns ✔️ Build the muscle memory for clean UI logic ✔️ Save hours debugging unstructured UI

This isn’t just a design kit — it’s a learning toolbox for becoming a better Android developer.

🔍 See it in action with live previews and screenshots: 📲 https://codecanyon.net/item/material-uix-kotlin-material-design-ver-11/54814328

Let’s raise the bar for Android UI — with less guesswork and more clarity. 🍊✨

🚀 Introducing the NeuroBERT Series — Lightweight NLP Models for Mobile, IoT & Edge Intelligence Crafted for real-time performance in low-resource environments — from smart homes to on-device assistants.

Proud to unveil 5 powerful and efficient NLP models under the Boltuix initiative, purpose-built to deliver contextual language understanding on constrained devices.

Whether you're building for mobile, embedded systems, or offline applications, NeuroBERT makes intelligent NLP more accessible and deployable than ever.

🧠 NeuroBERT Model Lineup Model Name Description 🔹 NeuroBERT-Tiny Ultra-compact (~25MB) for extreme edge and IoT 🔹 NeuroBERT-Mini Balanced performance for real-time NLP on mobile 🔹 NeuroBERT-Small Lightweight with expanded depth 🔹 NeuroBERT Core general-purpose version 🔹 NeuroBERT-Pro High-performance, fine-tuned for production-level tasks

🔍 Browse All Models: https://huggingface.co/models?other=NeuroBERT

📖 Learn More (Use Cases, Demos, Articles): https://www.boltuix.com/search/label/AI%20ML

📊 Supported NLP Tasks Task Description Pipeline Masked Language Modeling Predict missing words in context fill-mask Text Classification Categorize text into topics or sentiments text-classification Intent Detection Extract user intent from text text-classification Named Entity Recognition Detect and classify named entities ner

These models are part of my mission to build accessible, fast, and accurate NLP for developers, especially in the mobile and IoT domains.

Let's push the boundaries of what’s possible at the edge.

Android Mastery Pro - Learn