HealthCare

Doctor Appointment System

About this project

The Healthcare project is designed for patients. Here, you can easily book doctor appointments online without any hassle, make payments if required, and receive doctor consultations and treatments. Patients can view their booked appointments, and there is a dashboard that the admin can control.

Next.jsTypeScriptTailwind CSSNode.jsExpress.jsMongoDB

Key Features

Patients can easily find and select a doctor by filtering based on doctor name, department, and specialization to receive the care they need.

Patients can easily book doctor appointments online without any hassle, make payments if required, and receive doctor consultations and treatments.

Challenges & Solutions

Challenge

Multiple patients attempting to book the same doctor's appointment slot simultaneously caused race conditions, leading to double-booked time slots and schedule conflicts.

Solution

Implemented optimistic concurrency control and transactional DB operations (atomic updates) to temporarily lock slot availability during the checkout/booking workflow.

Challenge

Filtering large numbers of doctor profiles by name, department, and medical specialization simultaneously resulted in slow database queries and UI responsiveness lag.

Solution

Structured indexed database queries with debounced search inputs and server-side pagination to process multi-parameter filtering efficiently.

Challenge

Calculating live dashboard analytics (total revenue, patient counts, doctor distributions, appointment metrics) on every admin page load caused heavy server CPU load and delayed dashboard rendering.

Solution

Implemented cached aggregation pipelines and background data computation for analytics endpoints, invalidating caches only when new transactions or bookings occur.

Demo Credentials

Admin Emailkalidashodekare14@gmail.com

PasswordKalidash84@@##

Technical Highlights

Developed a responsive, patient-centric UI and full-control admin dashboard using Next.js App Router and Tailwind CSS for optimal layout performance and quick page transitions.

Implemented client-side filtering and dynamic booking workflows to deliver a frictionless scheduling experience across mobile and desktop devices.

Designed structured MongoDB schemas for users, doctors, schedules, and appointments, optimizing query patterns for concurrent slot availability checks.

Leveraged Next.js Server Actions / API Routes alongside MongoDB aggregation pipelines to efficiently compute real-time admin analytics and revenue metrics.