SaaS de agendamentos para Clínicas
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Updated
Jul 23, 2025 - TypeScript
SaaS de agendamentos para Clínicas
Intelehealth's Doctor Web Application
Browser based web application for Boldo (Doctors).
A hospital management & doctor's appointment portal made with Next.js, implementing advanced features like OCR from passport's MRZ, QR code links, etc.
Full-stack project using mern stack
This is a medical application mobile UI starter that i picked up from dribble. You can use this to jump start your mobile application development with Ionic Framework. UI Credits to https://dribbble.com/mattwojtas
Doctor Appointment Full Stack App : Next JS, React JS, Tailwind CSS, Typescript, Radix UI Framework
Patient Management Website for scheduling doctor appointments with automated success and cancellation notifications via SMS. Built with Next.js 14, React 18, Appwrite, TypeScript, TailwindCSS, ShadCN UI, and Twilio. Streamline patient-doctor interactions with a modern, efficient, and user-friendly interface.
A platform for patients to share health concerns, upvote issues, and connect with doctors for personalized support. Doctors review submissions and choose the issues that they can address and have successfully treated in the past, simplifying your healthcare journey without the need to juggle between multiple doctors.
Full-Stack Medical Center App A healthcare management system supporting five roles (Admin, Sub-Admin, Radiologist, Prescriber, Patient) with seamless prescription and radiology workflow integration. Includes Twilio SMS for real-time notifications to enhance communication and operational efficiency.
The Mental Health Consultation Platform is a comprehensive web application designed to provide users with easy access to mental health professionals for consultation and support. The platform allows users to connect with licensed therapists, psychiatrists, and counselors through secure video conferencing, chat or appointment scheduling
Web Server exposing RESTful API for Boldo.
AI-powered app enhancing patient care with monitoring and predictive insights.
This is the initial version of the dashboard that we presented to our esteemed client, Dr. Faheem. The final and complete project is hosted on a separate repository and URL
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