Jiabao Hu¹, Ang Li², ¹Northeastern University,USA ²California State University,USA

Small businesses face significant challenges by accessing professional expertise in marketing, customer service, financial planning, and strategic development. While large language models offer unprecedented capabilities for intelligent assistance, accessibility gaps prevent many entrepreneurs from benefiting. EntrepreneurHub addresses this problem through a cross-platform mobile application integrating OpenAI’s GPT model with Firebase backend services. The application implements domain-specific AI modules using specialized prompt engineering to ensure contextually appropriate responses. Key components include secure authentication, a centralized AI service layer, and usage analytics tracking. Experiments evaluated response quality across domains, achieving average scores of 4.54/5.0, and measured latency performance across network conditions. Comparison with existing methodologies demonstrates improvements in accessibility, cost, and functional breadth. Results validate that sophisticated AI capabilities can be effectively delivered through intuitive mobile interfaces, democratizing access to intelligent business guidance for entrepreneurs lacking technical expertise or significant budgets.

Large Language Models, Mobile Application Development, Flutter Framework, Small Business Technology, Artificial Intelligence