Mobile Application Development
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About this service
Summary
What's included
Cross-Platform App Development
Requirement Analysis & UI/UX Design: Collaborate to define app features, and target audience, and design intuitive user interfaces for cross-platform compatibility. Custom App Development: Build high-performance, scalable mobile applications using React Native (Expo) for seamless deployment on both iOS and Android. Responsive and Accessible Design: Ensure the app adapts to various screen sizes and adheres to accessibility standards.
Real-Time Features Integration
Real-Time Chat: Implement Firebase or other suitable technologies for fast, secure, and scalable messaging systems. Push Notifications: Enable real-time notifications for updates, alerts, and user engagement. Live Data Synchronization: Build dynamic features like live dashboards or activity feeds for a connected user experience.
App Store Setup & Optimization
App Store Submission: Handle end-to-end app store submission for Google Play and Apple App Store, including metadata, screenshots, and compliance checks. In-App Purchase Setup: Configure in-app purchase functionality for monetization, ensuring smooth integration and testing. App Store Optimization (ASO): Optimize app titles, descriptions, keywords, and assets to maximize visibility and downloads in app stores.
Landing Page Setup
Custom Landing Page Development: Design and develop a landing page tailored to the app, highlighting key features and driving downloads. SEO Optimization: Optimize landing page content for search engines to improve discoverability. Analytics Integration: Integrate tools like Google Analytics to track user engagement and conversion rates.
Maintenance & Support
Post-Launch AI Tuning: Continuously refine AI models and workflows based on user interactions and feedback. Performance Monitoring: Track app and AI performance metrics to ensure scalability and user satisfaction. Updates & Enhancements: Offer ongoing support to implement new features, enhance AI capabilities, and resolve issues.
AI Model Integration
Chatbot Integration: Develop and embed intelligent chatbots powered by OpenAI (e.g., GPT), Claude, Gemini, or Llama for customer support or user interactions. Virtual Agent & Assistant: Integrate AI-powered virtual agents for handling FAQs, task automation, and contextual user assistance. Speech-to-Text Features: Use Deepgram or similar technologies for voice recognition and transcription capabilities. Contextual AI Services: Customize AI workflows to provide predictive insights, personalized recommendations, or conversational AI services tailored to app functionality.
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