The objective of proposed application is to enhance the management of chronic care disease by facilitating comprehensive data collection, treatment adherence, and patient-provider communication. The application aims to address the current lack of real-world data and studies in urology. It enables healthcare providers to monitor patient-reported symptoms, track pain trends, and assess treatment efficac Doctors can access a dashboard displaying all  patients, prioritize cases based on symptom severity, and receive alerts for critical cases. Patients can easily log symptoms, monitor their  scores, and receive reminders for medications and lifestyle changes, ensuring better adherence to treatment plans. It enables secure messaging between patients and providers, allowing for timely updates, treatment adjustments, and symptom reports. Patients can access personalized educational materials, including multimedia resources and chatbot support, to manage their condition effectively. The platform aims to deliver personalized, data-driven care, improve patient outcomes, and contribute valuable real-world evidence to further research and understanding of the problem

ZENFLOWS AI Mail Automation Software is an AI-driven email response system that automates customer interactions and manages incidents requiring manual intervention. It leverages OpenAI GPT-3.5 Turbo, trained on FAQs with semantic similarity matching, to provide accurate responses.

Emails with low AI confidence scores are flagged for manual review, ensuring accuracy. The system securely integrates with Gmail, Outlook, and IMAP/SMTP using OAuth 2.0. Additionally, AfterShip API integration automates order tracking responses, while a React.js-based dashboard offers real-time analytics on AI performance. Subscription-based plans are managed via Stripe integration.

The project aims to develop a comprehensive e-commerce portal for SWP, an international photography agency specializing in school photography. The portal is designed to allow parents to view and purchase student photos, manage their children’s profiles, and communicate directly with SWP.
The development is divided into two phases. Phase 1 includes building the portal's core functionalities such as photo uploads, client and job management, access control, user roles, and basic reporting. Phase 2 focuses on implementing complete back-end services and workflows to integrate with the front-end components established in Phase 1.