AI Based Mobile App Development

About this Gig

AI-Powered Mobile Application Development with Kotlin Multiplatform (KMP) A cutting-edge mobile development approach/project that leverages Kotlin Multiplatform to build AI-driven applications for both Android and iOS from a single, shared codebase. By centralizing core business logic, data layers, and Generative AI (LLM) API integrations within the KMP shared module, this architecture eliminates code duplication while ensuring 100% native performance and fluid UI via Jetpack Compose and SwiftUI. Employs Kotlin Coroutines and modern clean architecture to handle asynchronous AI streaming data efficiently. Tech Stack: Core & Architecture: Kotlin Multiplatform (KMP), Clean Architecture, MVVM/MVI, Kotlin Coroutines & Flow (for AI streaming). UI Layer (Native UX): Jetpack Compose (Android) & SwiftUI (iOS). Networking & Serialization: Ktor Client & Kotlinx.serialization. Local Storage: Room Multiplatform / SQLDelight & Multiplatform Settings. AI Integration: Google Gemini SDK / OpenAI API (Cloud) or MediaPipe (On-device AI). Dependency Injection & Utils: Koin, Coil3 (Image Loading), Napier (Logging).

Requirements

Product Requirements & Scope: A brief feature list, user journeys, or a PRD (Product Requirement Document) for the AI mobile app. AI Model Preferences & Credentials: Choice of AI provider (e.g., OpenAI, Google Gemini, Anthropic) and access to API keys/sandbox environments. Design Assets & UI/UX: Wireframes, Figma files, or brand guidelines for both Android and iOS platforms. Backend & API Documentation: Details or Swagger docs for any existing backend APIs that the KMP mobile app needs to communicate with. Store Access & Credentials: Developer account access for Google Play Console and Apple Developer Program (if deployment is part of the scope).

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