尚未检测到更新。GitHub 发布版本后会显示在这里。
按最近已完成的 8 小时观测回合间的 GitHub 星标增量排序
58 项开源技能，覆盖完整的医学研究全生命周期。由医生构建，基于真实出版物测试。
AI 翻译
Pixy is a mood tracker for iPhone and Android. Track your mood in pixels, name your emotions, spot patterns, and keep your data on your device. No ads.
翻译准备中
个人 GitHub 账号下公开仓库的所有者可以登录并验证所有权，自行管理介绍，无需管理员批准。
登录并生成验证文件，在 30 分钟内将其提交到此仓库的默认分支。其他分支或分叉仓库中的文件无效。然后在下方检查文件，即可无需管理员批准直接管理项目。请保留文件以维持管理权限。
如需登录，将前往登录页面。登录后请回到此处，再次点击所选的验证按钮。
在项目文件夹中运行 /nomorevibe verify，即可验证所有权并自行管理介绍。
一分钟完成验证Final Year Project
翻译准备中
取自仓库 README
正在加载完整 README。 以下为已保存的摘录。
Medisynix is an AI-powered medical assistance platform developed as a Final Year Project (FYP). The system is designed to help patients access healthcare-related information, interact with an AI medical assistant, manage their medical information, and access hospital-related guidance through a user-friendly web application.
The platform combines a modern web application architecture with an AI chatbot powered by Chatbase, with the chatbot specifically designed around information related to Aga Khan University Hospital (AKUH) and Al Shifa Hospital.查看完整 README ↗Medisynix is an AI-powered medical assistance platform developed as a Final Year Project (FYP). The system is designed to help patients access healthcare-related information, interact with an AI medical assistant, manage their medical information, and access hospital-related guidance through a user-friendly web application.
The platform combines a modern web application architecture with an AI chatbot powered by Chatbase, with the chatbot specifically designed around information related to Aga Khan University Hospital (AKUH) and Al Shifa Hospital.
Note: Medisynix is an academic/software project intended to provide informational assistance. It does not replace professional medical diagnosis, treatment, or consultation with a qualified healthcare professional.
Medisynix provides an interactive AI chatbot that allows users to ask healthcare-related questions and receive informational responses.
The chatbot is powered by Chatbase and is configured specifically for:
The chatbot is intended to help users obtain relevant hospital and healthcare information through a conversational interface.
The platform provides functionality for patients to:
The system is designed to support interaction between different healthcare-related users and provide dedicated functionality for patients and healthcare professionals.
MongoDB is used for persistent data storage, including application and user-related information.
The application includes user authentication and authorization functionality for controlling access to protected areas of the platform.
The system provides functionality for managing and accessing relevant medical information through the application.
The frontend is designed as a responsive web application with a focus on usability, accessibility, and a clean healthcare-oriented interface.
The AI chatbot is implemented using Chatbase rather than a directly integrated Gemini API.
The current chatbot focuses on information related to:
1. Aga Khan University Hospital (AKUH) Information and guidance related to the hospital and its available healthcare services.
2. Al Shifa Hospital Information and guidance related to the hospital and its available healthcare services.
The chatbot can be integrated into the Medisynix web application to provide users with a conversational way to access this information.
The chatbot's responses depend on the knowledge and configuration provided through Chatbase.
AI-powered-medical-assistant/
│
├── app/ # Next.js application
├── auth/ # Authentication and backend functionality
├── components/ # Reusable React components
├── contexts/ # React contexts and application state
├── data/ # Application data
├── lib/ # Database and utility functions
├── models/ # MongoDB/Mongoose models
├── pages/
│ └── api/ # API endpoints
├── public/ # Static assets
├── scripts/ # Utility and project scripts
├── styles/ # Global and application styles
│
├── next.config.js # Next.js configuration
├── package.json # Project dependencies and scripts
├── tailwind.config.js # Tailwind CSS configuration
├── vercel.json # Vercel configuration
└── README.md # Project documentation
git clone https://github.com/Atti-Ullah/AI-powered-medical-assistant-.git
cd AI-powered-medical-assistant-
npm install
If the project requires legacy peer-dependency resolution:
npm install --legacy-peer-deps
Create a .env.local file in the root directory and configure the required environment variables.
Example:
MONGODB_URI=your_mongodb_connection_string
DB_NAME=your_database_name
Never commit
.env.local, database credentials, API keys, or other secrets to GitHub.
npm run dev
Open:
http://localhost:3000
Because Medisynix is a healthcare-related application, security and privacy are important considerations.
The project aims to:
For production deployment, additional security, privacy, compliance, and clinical validation would be required.
Medisynix is an academic software project and should not be considered a medical diagnostic system.
Information provided by the application or chatbot is intended for general informational purposes only.
Users should:
Project: Medisynix — AI-Powered Medical Assistant
Type: Final Year Project (FYP)
Domain: Software Engineering / Artificial Intelligence / Healthcare Technology
The project explores how modern web technologies and conversational AI can be used to improve access to healthcare-related information and provide a more convenient digital experience for patients.
Potential future improvements include:
Current Status: Active Development
The current version includes the core Medisynix web application and an AI chatbot powered by Chatbase, with the chatbot focused on AKUH and Al Shifa Hospital information.
Atti Ullah
Software Engineering / Computer Science
Final Year Project — Medisynix
This project was developed for academic and educational purposes as a Final Year Project.