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  • AI
  • Gen-AI
  • NLP

AI-Based Healthcare Appointment & Recommendation System

A role-based healthcare platform connecting patients with the right doctor through AI-driven triage.

Overview

An AI chatbot collects symptoms conversationally, an LLM suggests likely conditions, and the system matches the patient to the relevant specialist before booking a real-time slot — all managed through a role-based dashboard.

Problem Statement

Patients routinely book the wrong specialist because they do not know which department their symptoms belong to. The consultation is wasted and the real appointment is delayed by weeks.

Proposed Solution

Put an AI triage conversation in front of booking, so symptoms are mapped to likely conditions and then to the correct specialist before a slot is ever reserved.

Key Features

  • AI Chatbot for Symptom Input

    Conversational intake of patient symptoms.

  • LLM-Based Disease Prediction

    Suggests likely conditions from reported symptoms.

  • Doctor & Specialist Recommendation

    Matches patients to relevant specialists.

  • Real-Time Slot Booking

    Chatbot-driven appointment scheduling and management dashboard.

Technologies Used

Gen-AI / NLP

  • LLM triage
  • LangChain
  • Prompt engineering

Application

  • React
  • Node.js / Flask
  • MongoDB

Scheduling

  • Real-time slot management
  • Role-based access
  • Notifications

Project Workflow

  1. 1

    Symptom conversation

    The chatbot collects symptoms in natural language.

  2. 2

    Condition suggestion

    The LLM proposes likely conditions.

  3. 3

    Specialist matching

    The right department and doctor are identified.

  4. 4

    Slot booking

    An available appointment is reserved in real time.

What You'll Receive

  • Complete, runnable source code with folder structure
  • Project report and technical documentation
  • Ready-to-present PPT content
  • Setup and installation walkthrough
  • Line-by-line project explanation session
  • Viva question bank with answers
  • Bug fixing and troubleshooting help
  • Post-delivery support after submission

Frequently Asked Questions

How much does this project cost?

Every project is quoted individually, because the price depends on the modules you need, your technology stack, your college's format and your deadline. Send us the project name on WhatsApp and we'll share a quote the same day.

Can the project be customised to my college requirements?

Yes. Share your guide's requirements, preferred technology stack and abstract format, and we adapt the modules, dataset or UI accordingly.

Will I be able to explain this project during my viva?

That is the point of the explanation session. We walk you through the architecture, every module, the flow of data and the results, and hand over a viva question bank with answers.

What if the project does not run on my laptop?

We help you with setup end to end — dependencies, environment, database and configuration — over chat or a call until it runs on your machine.

Do I get support after submission?

Yes. Post-delivery support is included, so you can come back for fixes, doubts or demo help even after the project is delivered.

Want This Project?

Get complete source code, documentation, PPT, explanation, and support.

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