MediGuide AI

An AI-powered preventive healthcare platform that predicts future health risks, recommends suitable doctors, and provides online consultation support using Artificial Intelligence and modern web technologies.

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Project Overview

MediGuide AI is a smart healthcare assistance platform designed to help users understand potential future health risks based on symptoms, lifestyle habits, and medical history. The system uses AI APIs to analyze health-related data and provide preventive suggestions along with doctor recommendations through a user-friendly web interface.

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Technology Stack

Frontend

• Next.js
• Tailwind CSS
• HTML
• CSS
• JavaScript

Backend

• Node.js
• Express.js

Database

• MongoDB

AI Integration

• Gemini API

Tools

• VS Code
• GitHub
• MongoDB Compass

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Features

• User Authentication (Login / Register)
• AI-Based Health Risk Prediction
• Symptom Analysis
• Preventive Healthcare Suggestions
• Doctor Recommendation System
• Appointment Booking
• Online Consultation Chat
• Prediction History Tracking
• Dashboard Interface
• Admin Panel
• Responsive UI Design

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Supported Functionalities

• Predict future health risks
• Classify risks as Low / Medium / High
• Suggest preventive healthcare measures
• Recommend suitable specialists
• Store consultation and prediction history

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Project Structure

MediGuide-AI/
│
├── client/
├── server/
├── models/
├── routes/
├── controllers/
├── middleware/
├── screenshots/
│   ├── home.png
│   ├── login.png
│   ├── register.png
│   ├── dashboard.png
│   ├── prediction.png
│   ├── doctors.png
│   └── consultation.png
│
├── .env
├── package.json
├── README.md
└── app.js

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Installation & Setup

1. Clone Repository

git clone <https://github.com/aarya-saraf/MediGuide-AI>

2. Move to Project Directory

cd MediGuide-AI

3. Install Dependencies

npm install

4. Configure Environment Variables

Create a .env file and add:

MONGO_URI=your_mongodb_uri
GEMINI_API_KEY=your_gemini_key

5. Start Backend Server

npm run server

6. Start Frontend

npm run dev

7. Open in Browser

http://localhost:3000

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Project Screenshots

Home Page

Login Page

Register Page

Dashboard

Prediction Result

Doctor Recommendation

Future Predictions

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Team Members

• Aarchi Israni
• Aarushi Nahata
• Aarya Saraf

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Future Improvements

• Video Consultation Feature
• Real-Time Doctor Availability
• Mobile Application Development
• Voice-Based AI Assistant
• Advanced ML Models for Higher Accuracy
• Hospital & EHR Integration
• Cloud Deployment (AWS / Render)

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Repository

https://github.com/aarya-saraf/MediGuide-AI