An AI-driven mobile application has been developed to support cancer patients and individuals facing medical challenges by integrating health assistance, financial aid, task management, travel options, and personalized AI interactions. Built using React Native for the front end and FastAPI/Node.js for backend processing, the application ensures a seamless and interactive user experience. The Home Page serves as the central hub, offering a responsive navigation menu that connects users to key functionalities, including Financial Assistance, Medical Records, Health Insights, To-Do List, and Travel Assistance. The Financial Assistance module enables patients to apply for financial aid with real-time validation and backend processing. The Medical Records system facilitates secure document upload, viewing, and management using cloud storage or local repositories. For health monitoring, the Health Insights feature integrates with health tracking APIs to display vital metrics such as heart rate, steps, calories, and sleep, presented through interactive charts. Task management is streamlined through the To-Do List, where users can create, edit, and prioritize tasks based on urgency and completion status. Additionally, the Travel Assistance module provides access to discounted travel services for cancer patients, linking users to airline, rail, and bus providers. A key innovation of the application is the AI Chat Assistant, which leverages Natural Language Processing (NLP) to offer personalized health guidance, reminders, and real-time support. The chat-bot continuously improves through machine learning, with future iterations incorporating voice interaction for enhanced accessibility. By integrating AI-driven interactions with real-time data processing, this application enhances patient well-being, improves access to essential resources, and streamlines healthcare management. The technical architecture, implementation strategies, and impact on users are explored, demonstrating its potential as a comprehensive digital health solution.