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AI App Development Timeline & Cost Stages Explained

AI App Development Timeline & Cost Stages Explained offers a clear overview of how AI apps progress from initial planning to final deployment. It breaks down each phase ideation, data preparation, model development, UI/UX design, and testing with realistic timelines. The description highlights how feature complexity and AI model requirements influence development speed. It also outlines the major cost factors involved at every stage, from data acquisition to cloud infrastructure. This topic helps businesses understand what to expect in terms of budgeting, scheduling, and building scalable

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AI App Development Timeline & Cost Stages Explained

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  1. AI App Development Timeline & Cost Stages Explained Planning & Discovery Analyze business requirements & goals Decide AI model type (pre-trained vs custom) Define features, data sources & architecture 01 Data Preparation Collect, clean & label datasets, Structure data for AI model training, Ensure quality and relevance of data 02 AI Model Development Train & optimize ML/DL models Custom model development if required Model evaluation & tuning for accuracy 03 App Development & Testing Backend & frontend development, Integrate AI models via APIs, Test app functionality, performance & security 04 Deployment & Maintenance Deploy on cloud or app stores, Monitor app performance & fix issues, Retrain AI models & update features regularly 05 www.hyperlinkinfosystem.com

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