🏥 HealthPlum

HealthPlum is a modern full-stack healthcare web application that bridges the gap between patients, doctors, and hospital staff. With built-in machine learning support for early disease detection, role-based access, and seamless appointment booking, HealthPlum aims to digitize and simplify healthcare services.

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🚀 Features

• 👩‍⚕️ Doctor Dashboard – Manage availability, view appointments, and track ratings.
• 👨‍🦰 Patient Portal – Book appointments, access prediction tools, view booking history.
• 🧑‍💼 Staff Panel – Book and manage ambulance services, assign emergency roles.
• 🤖 ML-Powered Predictions – Parkinson’s and Heart Disease prediction using Flask API.
• 🔒 Secure Role-Based Authentication – Login system for doctors, patients, and staff (without Firebase).
• 📊 Real-Time Status Updates – Appointment and ambulance statuses handled via backend.

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🛠️ Tech Stack

Layer	Tech Used
Frontend	React.js, Tailwind CSS, Redux Toolkit
Backend	Node.js, Express.js, Jwt
Database	PostgreSQL (NeonDB)
ML Services	Flask, scikit-learn, pandas, NumPy
Authentication	Custom (role-based)

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⚙️ Getting Started

1. Clone the repository

   git clone https://github.com/iamdhruvsaini/healthplum.git
   cd healthplum

2. Install frontend dependencies

   cd frontend
   npm install
   npm run dev

3. Install backend dependencies

   cd backend
   npm install
   npm run dev

4. Create a .env file

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🌍 Deployment

Service	Platform
Frontend	Vercel
Backend + ML	Render
Database	NeonDB

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🙋‍♂️ Author

• Dhruv Saini
  GitHub: @iamdhruvsaini

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