This project involves creating analytical reports and dashboards for retail sales and healthcare metrics. The store sales report tracks sales performance using key metrics such as total sales, targets, and period-based sales comparisons, with filters for date and location. The repair summary report provides insights into repair activities with visual charts and multiple filters. The top sales report highlights salesperson performance, while the top sellers report lists best-selling products. In healthcare, dashboards focus on patient-related metrics, engagement, and group analysis, offering insights into appointments, measures, and patient interactions with various filtering options for effective data analysis and decision-making.

The Healthcare at Home platform is designed to bridge the gap between patients and healthcare providers by offering a scalable, secure, and AI-powered digital health marketplace. It enables users to book home care services, schedule teleconsultations, receive medical product deliveries, and access personalized health monitoring through a seamless web and mobile interface. By integrating intelligent provider matching, automated scheduling, and escrow-based payments, the platform ensures a convenient, efficient, and trustworthy healthcare experience for patients and caregivers alike.

With an emphasis on accessibility, security, and automation, the platform enhances healthcare delivery by leveraging AI-driven recommendations, HIPAA-compliant data security, and predictive analytics for demand forecasting. Patients benefit from flexible service options, while healthcare providers can efficiently manage their schedules, consultations, and earnings. By offering subscription-based models, commission-based transactions, and promotional opportunities, the platform is not just a healthcare solution but a sustainable business model that fosters long-term engagement and improved patient outcomes.

The proposed solution is a mobile-first, AI-powered wellness platform designed to empower users to take control of their health through real-time insights, proactive recommendations, and an engaging, gamified user experience. By integrating data from wearables, lab results, medical history, and electronic health records (EHR/EMR), the platform delivers a comprehensive and personalized wellness journey. Advanced AI/ML models analyze this data to offer predictive insights and tailored health guidance, while seamless integration with third-party systems such as LabCorp and Quest Diagnostics ensures a truly connected and data-driven experience.