MalamaAI is a user-friendly application designed to support individuals in managing their skin health. By providing early diagnosis for various skin conditions, MalamaAI helps users identify potential skin issues before they become more serious. The app is particularly useful for addressing common skin problems, offering insights and guidance based on user input. With its advanced features, MalamaAI not only suggests possible remedies tailored to the specific skin issues reported by users but also provides information on best practices for skincare. The app takes into account various factors, such as skin type and lifestyle, to recommend personalized solutions. Furthermore, MalamaAI emphasizes the importance of professional medical advice. It includes a feature that advises users on when it is necessary to consult a doctor, ensuring that they seek appropriate care when needed. This combination of self-assessment tools and guidance helps empower users to take charge of their skin health while promoting responsible healthcare practices. MalamaAI aims to make skin care accessible and informative, helping individuals understand their skin better and make informed decisions about their health.

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.