Aplikasi AI untuk arbitrage crypto Android - 15/01/2026 11:20 EST

@afsahfarooqui119

Hello, I can develop your AI-based Android personal assistant app focused on smart alarm management using Kotlin and TensorFlow Lite. The app will allow users to create, edit, snooze, and delete alarms, while the AI suggests smart alarm recommendations based on user habits. I will deliver a clean, lightweight Material Design UI, complete source code, and full copyright transfer. I have experience building AI Android apps and can share examples upon request. Best regards, Afsah Farooqui

@kafeel1000

Hey , I just finished reading the job description, and I see you are looking for someone experienced in Android Studio, Mobile App Development, Java, Logo Design, Mobile App Testing, Graphic Design, Android, Kotlin, Android App Development and AI Development. This is something I can do. Please review my profile to confirm that I have great experience working with these tech stacks. While I have a few questions: 1. Are all these requirements? If not, please share more detailed requirements. 2. Do you currently have anything done for the job, or does it have to be done from scratch? 3. What is the timeline to get this done? Why Choose Me? 1. I have done more than 250 major projects. 2. I have not received a single bad feedback in the last 5-6 years. 3. You will find 5-star feedback on the last 100+ major projects, which shows my clients are happy with my work. Please start the chat to discuss it further. Regards, Kafeel Ahmed.

@vudinhgiang

hi Saya siap membangun aplikasi Android AI asisten alarm berbasis Kotlin dengan AI on-device (TensorFlow Lite) yang ringan, hemat baterai, dan stabil di Android 10+, lengkap dengan rekomendasi alarm cerdas dari kebiasaan pengguna. Saya berpengalaman 5+ tahun mengembangkan aplikasi Android AI/ML (TFLite, Material Design, alarm & background services) dan memastikan kode rapi, terdokumentasi, serta hak cipta penuh untuk Anda. Giang V

@andhykatria

Halo, Saya tertarik mengerjakan proyek pengembangan aplikasi Android berbasis AI yang berfokus pada fitur pengaturan alarm cerdas seperti yang Anda jelaskan. Saya adalah developer dengan pengalaman di pengembangan Android (Kotlin) dan integrasi machine learning on-device menggunakan pendekatan ringan dan efisien. Saya memahami kebutuhan Anda untuk aplikasi yang cepat, stabil, hemat baterai, serta tidak bergantung penuh pada server eksternal. Pemahaman Proyek Aplikasi akan memiliki fitur utama: Pembuatan, pengeditan, penundaan, dan penghapusan alarm Logika AI lokal (rule-based + ML ringan / TensorFlow Lite) Rekomendasi alarm otomatis berdasarkan kebiasaan pengguna dan data kalender UI sederhana dan intuitif sesuai Material Design Kompatibel dan stabil di Android 10 ke atas Teknis yang Saya Tawarkan Bahasa: Kotlin (Android Studio) AI Logic: Model ringan on-device (TensorFlow Lite atau hybrid rule-based + ML) Contoh skenario: deteksi kebiasaan bangun + event kalender → saran alarm lebih awal Arsitektur: MVVM (rapi, mudah dikembangkan) Dokumentasi lengkap: Penjelasan struktur project Cara build APK dari nol Penjelasan logika AI Hak cipta source code 100% milik Anda Estimasi Waktu ⏱ 5 – 7 hari kerja Hari 1–2: Setup project, UI dasar, alarm manager Hari 3–4: Implementasi logika AI & rekomendasi alarm Hari 5: Testing, debugging, dokumentasi Hari 6–7 (opsional): Revisi & penyempurnaan

@ZeeshanXOfficial

iam an experienced Android developer specializing in Kotlin-based applications with on-device AI integration using Android Studio and TensorFlow Lite. I can build a lightweight, fast, and battery-efficient personal assistant app focused on intelligent alarm management, fully compatible with Android 10+ and the latest Android versions. The app will allow users to create, edit, snooze, and delete alarms smoothly, while the embedded AI logic analyzes user behavior and calendar patterns to provide smart alarm recommendations (such as earlier wake-ups for important events). I will deliver a clean Material Design UI, stable performance without reliance on external servers, well-structured and fully documented source code, and a build-ready APK. All code ownership will be transferred to you upon completion, with a clear development timeline of 7 days and prior experience in Android AI applications available for review.