{"id":29328791,"url":"https://github.com/techspire0924/telehealth_platform","last_synced_at":"2026-04-12T18:36:23.130Z","repository":{"id":303322487,"uuid":"1015077863","full_name":"techspire0924/Telehealth_Platform","owner":"techspire0924","description":"🌐 A full-stack telehealth platform enabling virtual consultations, real-time symptom prediction via AI, and chatbot-assisted triage — built with React, Node.js, and 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Telehealth Platform\r\n\r\nA comprehensive telehealth application designed to facilitate remote patient management, virtual consultations, and intelligent symptom analysis via an integrated chatbot.\r\n\r\n## Table of Contents\r\n- [Requirements](#requirements)\r\n- [Features](#features)\r\n- [Tech Stack](#tech-stack)\r\n- [System Diagram](#system-diagram)\r\n- [Installation Guide](#installation-guide)\r\n- [Running the Application](#running-the-application)\r\n- [Project Structure](#project-structure)\r\n- [License](#license)\r\n\r\n## Requirements\r\n- **Node.js** (v14 or higher) and **npm/yarn** for the frontend and backend\r\n- **Python** (v3.7 or higher) and a virtual environment for the symptom prediction service\r\n- [Optional] **Docker** for containerized deployment\r\n\r\n## Features\r\n- **User Interface:** Responsive frontend built with React and Vite.\r\n- **Real-time Communication:** Seamless integration between frontend and backend components.\r\n- **Virtual Consultations:** Support for patient-doctor interactions.\r\n- **Symptom Prediction:** Machine learning analysis using a pre-trained ANN model.\r\n- **Chatbot Integration:** AI-powered chatbot for primary symptom assessment.\r\n- **Secure Authentication:** User management and authorization to ensure data privacy.\r\n\r\n## Tech Stack\r\n- **Frontend:** React, Vite, Tailwind CSS  \r\n  ([vite.config.js](frontend/vite.config.js), [tailwind.config.js](frontend/tailwind.config.js))\r\n- **Backend:** Node.js (check [server/backend/index.js](server/backend/index.js) for details)\r\n- **Symptom Prediction Service:** Python with a pre-trained ANN model ([app.py](server/symptoms_prediction/app.py))\r\n- **Styling:** CSS with Tailwind \u0026 PostCSS ([postcss.config.js](frontend/postcss.config.js))\r\n\r\n## System Diagram\r\n\r\n```\r\n          +-------------------+\r\n          |    End Users      |\r\n          +---------+---------+\r\n                    |\r\n                    V\r\n          +-------------------+        REST API calls\r\n          |   Frontend App    | \u003c----------------------+\r\n          | (React \u0026 Vite)    |                        |\r\n          +---------+---------+                        |\r\n                    |                                  |\r\n                    V                                  |\r\n          +-------------------+                        |\r\n          |   Backend API     | -----------------------+\r\n          |    (Node.js)      |\r\n          +---------+---------+\r\n                    |\r\n                    V\r\n          +-------------------------+\r\n          | Symptom Prediction      |\r\n          |   Service (Python)      |\r\n          +-------------------------+\r\n```\r\n\r\n## Installation Guide\r\n\r\n### Frontend Setup\r\n1. Navigate to the `frontend` directory:\r\n    ````sh\r\n    cd frontend\r\n    ````\r\n2. Install dependencies:\r\n    ````sh\r\n    npm install\r\n    ````\r\n3. Start the development server:\r\n    ````sh\r\n    npm run dev\r\n    ````\r\n\r\n### Backend Setup\r\n1. Navigate to the `server/backend` directory:\r\n    ````sh\r\n    cd server/backend\r\n    ````\r\n2. Install dependencies:\r\n    ````sh\r\n    npm install\r\n    ````\r\n3. Start the backend server in development mode:\r\n    ````sh\r\n    npm run start-dev\r\n    ````\r\n\r\n### Symptom Prediction Service Setup\r\n1. Navigate to the `server/symptoms_prediction` directory:\r\n    ````sh\r\n    cd server/symptoms_prediction\r\n    ````\r\n2. Set up a Python virtual environment:\r\n    ````sh\r\n    python -m venv venv\r\n    source venv/bin/activate      # On Windows use: venv\\Scripts\\activate\r\n    ````\r\n3. Install the required Python packages:\r\n    ````sh\r\n    pip install -r requirements.txt\r\n    ````\r\n4. Run the Python application:\r\n    ````sh\r\n    python app.py\r\n    ````\r\n\r\n## Running the Application\r\n- **Frontend:** Available at [http://localhost:3000](http://localhost:3000) (or as printed in your terminal).\r\n- **Backend:** Accessible at [http://localhost:5000](http://localhost:5000) or a custom port as configured.\r\n- **Symptom Prediction Service:** Running on the port specified in your Python app configuration (commonly [http://localhost:8000](http://localhost:8000)).\r\n\r\n## Project Structure\r\n\r\n```\r\nTelehealth_Platform/\r\n├── README.md\r\n├── frontend/\r\n│   ├── .eslintrc.cjs\r\n│   ├── .gitignore\r\n│   ├── config.js\r\n│   ├── index.html\r\n│   ├── package.json\r\n│   ├── postcss.config.js\r\n│   ├── README.md\r\n│   ├── tailwind.config.js\r\n│   ├── vite.config.js\r\n│   ├── public/\r\n│   │   └── vite.svg\r\n│   └── src/\r\n│       ├── App.css\r\n│       ├── App.jsx\r\n│       ├── index.css\r\n│       ├── main.jsx\r\n│       ├── assets/\r\n│       ├── components/\r\n│       ├── context/\r\n│       ├── Dashboard/\r\n│       ├── hooks/\r\n│       ├── layout/\r\n│       ├── pages/\r\n│       ├── routes/\r\n│       └── utils/\r\n└── server/\r\n    ├── backend/\r\n    │   ├── .gitignore\r\n    │   ├── index.js\r\n    │   ├── package.json\r\n    │   ├── auth/\r\n    │   ├── Controllers/\r\n    │   ├── models/\r\n    │   └── Routes/\r\n    └── symptoms_prediction/\r\n        ├── ann_model.pkl\r\n        ├── app.py\r\n        ├── Doctor_Versus_Disease.csv\r\n        └── ... other files ...\r\n```\r\n\r\n## License\r\nThis project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.\r\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftechspire0924%2Ftelehealth_platform","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftechspire0924%2Ftelehealth_platform","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftechspire0924%2Ftelehealth_platform/lists"}