Built to order

Telemedicine Appointment Booking Platform

This project builds a complete telemedicine booking web application where patients discover verified doctors by specialty, book confirmed video-consultation slots without double-booking, and receive signed digital prescriptions. It includes doctor-side schedule management, SMS/email reminders, and patient consultation history. Suitable for B.E./B.Tech final-year projects in Computer Science, IT and Web Development.

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The problem

Seeing a specialist still means phone calls, waiting rooms and paper prescriptions for most patients, while clinics lose hours to manual scheduling and no-shows. Telemedicine removes the distance, but only a purpose-built booking layer makes it trustworthy: verified doctor profiles with genuine availability, slots that cannot be double-booked, reminders that cut no-shows, and a prescription trail the patient keeps. This project builds exactly that layer as a full web application. Patients search doctors by specialty, fee and rating, pick a real open slot from a live calendar, and join a secure video session; doctors control their weekly schedules and issue prescriptions from templates that generate signed PDFs. The booking engine uses database-level constraints so two patients clicking the same slot resolve to exactly one confirmed appointment.

How it works

  1. The doctor sets a weekly schedule template (working days, slot length, breaks) from the doctor dashboard.
  2. A patient searches by specialty and opens a doctor profile showing fee, rating and genuinely open slots.
  3. Selecting a date renders the day's slots minus already-booked ones; picking a slot creates a provisional hold.
  4. The patient submits details, the hold converts to a confirmed booking, and both sides get confirmation.
  5. Fifteen minutes before the session, a secure video link is sent by SMS and email to both parties.
  6. After the consultation, the doctor issues a prescription from a template; the signed PDF lands in the patient's history.
  7. Cancellations and reschedules follow the configured policy (for example, free until 4 hours before).

Tech stack:

  • Python (Django/Flask) or Node.js (Express) REST backend
  • PostgreSQL or MySQL with transactional booking constraints
  • HTML5, CSS3, JavaScript responsive frontend
  • WebRTC video provider integration for session links
  • SMS/email gateway for reminders
  • PDF generation library for prescriptions
Parameter Value
Users Patient, doctor, admin roles
Booking guarantee Database-level uniqueness on (doctor, date, slot)
Consultation types Video, audio, chat
Reminder lead time Configurable (default 15 min + 24 hr)
Prescription format Signed PDF, stored per patient
Cancellation policy Configurable (default free until 4 hrs before)
Frontend Responsive; works on mobile browsers
Demo data 25+ doctor profiles across 8 specialties (sample)

Project features

  • [Verified doctor discovery] Search by specialty, fee, rating and real availability — profiles show experience, consultation types and patient reviews.
  • [Conflict-free slot engine] Live date-wise calendars generated from each doctor's schedule template; database constraints make double-booking impossible.
  • [Video, audio & chat consults] Secure per-appointment session links delivered by SMS/email 15 minutes before the slot.
  • [Digital prescriptions] Doctors issue prescriptions from medicine templates; patients get signed PDFs stored in their history.
  • [Reminders & policies] Automated reminders plus configurable cancellation and rescheduling rules.
  • [Doctor dashboard] Schedule management, appointment lists, earnings overview and patient notes.
  • [Patient history] Every consultation, prescription and payment in one timeline the patient can revisit.

What is included

  • Complete web application (patient, doctor and admin modules)
  • Database schema with seed data and booking-constraint logic
  • Video-session link integration wiring
  • Prescription PDF generation module
  • Project report PDF (architecture, schema design, booking logic)
  • PPT presentation for final review
  • Viva Q&A preparation document (concurrency, scheduling, WebRTC basics)

Limitations & prerequisites

  • Video sessions depend on a third-party WebRTC provider account, configured at deployment.
  • The demo ships with sample doctor data; real listings need an onboarding/verification process.
  • Payment collection is modeled at booking confirmation; a live gateway is integrated per order requirements.
  • Prescriptions are advisory documents from the demo flow, not a certified medical-records system.
  • Reminder delivery needs an SMS/email gateway account with its own billing.

Frequently Asked Questions

How does the system prevent double-booking?

Each booking is created inside a database transaction with a uniqueness constraint on doctor, date and slot. If two patients click the same slot simultaneously, exactly one transaction commits; the other gets a clean 'slot just taken' response and picks another.

Is the video call built from scratch?

No — the platform generates secure per-appointment links through a standard WebRTC provider and delivers them by SMS/email. Building a video stack from scratch is out of scope; the project focuses on the booking and records layer.

Can doctors manage their own availability?

Yes. Each doctor has a weekly schedule template plus per-day overrides for leave, so the patient-facing calendar always reflects reality.

What happens on cancellation?

The configured policy applies (default: free until 4 hours before), the slot is released back to the pool immediately, and both parties are notified.

Is this project suitable for a final-year project?

Yes — for Computer Science, IT and Web Development programs. It demonstrates database design, concurrency-safe booking logic, role-based access and third-party API integration. Suitable for B.E./B.Tech final-year projects in Computer Science, IT and Web Development.

Components & software requirements
  • Python (Django/Flask) or Node.js (Express) REST backend
  • PostgreSQL or MySQL with transactional booking constraints
  • HTML5, CSS3, JavaScript responsive frontend
  • WebRTC video provider integration for session links
  • SMS/email gateway for reminders
  • PDF generation library for prescriptions
Delivery information

Built-to-order project. Delivery timeline is shared after order confirmation based on current queue.

Support terms

Complete documentation, setup guide, and viva preparation included. Support for setup and explanation provided.

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