This project aims to develop a mobile application for pharmacists that utilizes OCR (Optical Character Recognition) to read handwritten prescriptions from uploaded images or camera captures. The extracted medication details will be matched with a database to provide accurate prescription information.

The platform is a HIPAA-compliant, AI-driven diagnostic test management system designed to digitize and streamline the end-to-end lifecycle of diagnostic reports—starting with Pulmonary Function Tests (PFTs). It enables testing clinicians, physicians, and administrators to seamlessly upload, interpret, review, and sign diagnostic reports within a single secure environment.
The system aims to reduce physician workload through AI-generated interpretations, while preserving clinical authority, regulatory compliance, and full traceability. It incorporates state-based physician licensing controls to ensure that reports are routed only to authorized physicians as mapped by administrators.

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.