Arms Healthcare

Arms Healthcare is a healthcare platform that is built using Next.js, Machine Learning, and Sentry for error tracking. The platform includes a Patient Management System and integrates Machine Learning models to assist healthcare providers in making informed decisions.

Table of Contents

• Overview
• Features
• Tech Stack
• Installation
• Usage
  • Patient Management
  • Machine Learning Integration
  • Error Monitoring with Sentry
• Contributing
• License
• Acknowledgments

Overview

Arms Healthcare is a platform designed to enhance healthcare management through modern web technologies. The platform focuses on:

1. Patient Management System: A tool to manage patient records, track appointments, and monitor medical histories.
2. Machine Learning Integration: Leverages machine learning models for disease prediction and other healthcare-related tasks.

Additionally, the platform integrates Sentry for real-time error tracking and performance monitoring.

Features

• Patient Management System:

  • Allows healthcare professionals to create and manage patient profiles.
  • Schedule and track appointments and maintain a detailed history of patients.

• Machine Learning Integration:

  • Disease prediction models to assist healthcare professionals in diagnosing conditions early.
  • Provides predictive insights based on patient data.

• Real-Time Error Monitoring with Sentry:

  • Sentry is integrated into the platform to catch runtime errors and monitor app health in real time.
  • Allows developers to swiftly resolve issues, ensuring a smooth user experience.

Tech Stack

• Frontend:

  • Next.js: A React framework for server-rendered applications.
  • React.js: JavaScript library for building user interfaces.
  • Tailwind CSS: A utility-first CSS framework for designing responsive layouts.

• Backend:

  • Next.js API Routes: Provides serverless functions for handling backend logic.
  • Appwrite: Backend-as-a-Service (BaaS) for user authentication and data management.

• Machine Learning:

  • Custom machine learning models integrated for disease prediction.

• Error Monitoring:

  • Sentry: Real-time error tracking platform to identify and fix bugs and performance issues.

Installation

Follow these steps to set up the project locally.

Prerequisites

• Node.js (v14.x or higher)
• npm (v6.x or higher)
• Sentry DSN for error monitoring
• Appwrite project credentials

Steps

1. Clone the repository:

   git clone https://github.com/your-username/arms-healthcare.git
   cd arms-healthcare