ClinicStream is a web-based platform designed to streamline the daily operations of small clinics, offering a comprehensive solution to improve efficiency in patient management, disease prediction, symptom analysis, and telemedicine support. Our project integrates AI-based systems to deliver intelligent healthcare services with real-time database connections, enabling a seamless clinic workflow.
- AI-based Symptom Analysis: Patients can input their symptoms, and the AI model provides possible diagnoses and recommendations.
- Disease Prediction: Uses patient data to predict potential diseases based on historical trends and input symptoms.
- Telemedicine Support: Offers secure video consultations for patients to connect with healthcare providers remotely.
- Diet Recommendations: Provides personalized diet plans based on health conditions and patient goals.
- Real-time Data Integration: All data is stored and retrieved in real time, ensuring up-to-date patient and clinic information.
- Frontend: Reactjs
- Backend: Node.js, Express
- Database: MongoDB
- Real-time Communication: WebSockets
- Frontend: User-friendly interface with seamless navigation for patients, doctors, and clinic administrators.
- Backend: Handles user authentication, database connections, and AI model integration.
- AI Module: Analyzes patient symptoms and predicts diseases using machine learning models.
- Database: Manages patient records, clinic data, and user authentication securely.
- Clone the repository:
git clone https://github.com/im-vishesh15th/medecre.ai-.git
- Navigate to the project directory:
cd cliniguard
- Install the dependencies:
npm install
- Run the application:
npm run dev
We are a team of passionate developers with expertise in full-stack development, AI, and healthcare technology:
- Lead: Vishesh Gupta
- Backend Developer: Shubham
- Frontend Developer: Chayan Das
We participated in the Medecro HealthHack 2024 and successfully made it to the final round. Our project was developed to solve real-world healthcare problems, enhancing clinic efficiency and delivering better care to patients through advanced AI technologies.
- Integrating more advanced AI models for deeper health insights.
- Expanding telemedicine features to support international clinics.
- Adding multi-language support for better accessibility.
For any queries or contributions, feel free to reach out: