Emmanuel Okoye@emmanuel_obiajulu_okoye296

The AI Financial Assistant is a web application where users input inventory and sales data to receive automated financial summaries, including profit/loss statements, cash flow analysis, and expense tracking. It leverages a large language model (LLM) to interpret transactional data, categorize spending patterns, and generate plain-language insights—such as identifying overstocked items, recommending pricing adjustments, or highlighting cost-saving opportunities. The LLM analyzes historical sales trends to predict future cash flow challenges, and suggests inventory reorder points. It automates report generation, answers user queries in natural language (e.g., “How can I reduce overhead costs?”), and provides tailored advice on tax deductions or budget optimization. A dashboard visualizes financial health metrics, while alerts notify users of risks like low liquidity or overdue invoices. Built with secure APIs, the app integrates with accounting software and payment platforms, ensuring data privacy through encryption. Designed for small businesses, it simplifies financial decision-making by translating raw data into actionable steps. Future updates may include multi-language support and enhanced LLM-driven scenario simulations for improved forecasting accuracy.

🔍Create AI-driven solutions using open-source technologies to optimize public sector network management—planning, procurement, and maintenance—for scalable, sustainable school connectivity in underserved regions. 📅 Join us January 24-26: Participate online or in person in Geneva to develop innovative solutions with peers globally. 👨‍🏫 Work alongside industry mentors for insights and guidance on your projects. 🏆 Compete for a chance to join the Lablab NEXT incubator program! 🧑🏻‍💻 Sign up before the Kick-Off Stream to secure your spot!