Here’s a creative and easy-to-read README.md template for your GitHub project. The idea is to make it engaging, colorful, and self-explanatory. I’ll break it down into sections to explain each feature clearly and emphasize the innovative aspects of your AI Doctor app.
Welcome to AI Doctor, an advanced healthcare platform powered by Machine Learning and Neural Networks! This project aims to revolutionize healthcare by leveraging cutting-edge technology to recommend personalized medication, diagnose health conditions, and provide an interactive patient experience.
AI Doctor is a comprehensive healthcare solution that integrates Artificial Intelligence, Machine Learning, and Google Gemini API to diagnose patient data and recommend the best medications. It combines a Neural Network-based Chatbot to interact with patients and a React-based Frontend for a seamless, user-friendly interface.
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💬 AI-powered Chatbot: A sophisticated chatbot built on neural networks that acts as your virtual doctor. It helps collect symptoms and patient data to give accurate, personalized recommendations.
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💊 Medication Recommendation System: Using ML algorithms, the system analyzes patient data and suggests the most effective medication tailored to their specific conditions.
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🩺 Google Gemini API Integration: This feature utilizes the Google Gemini API for diagnosing patient data. It taps into vast medical knowledge to make accurate, real-time diagnoses based on the symptoms entered.
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🌐 Frontend Built with React: An intuitive and responsive React-based website makes it easy for patients to interact with the chatbot, input symptoms, and view their diagnoses and medication recommendations.
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User Interaction: Patients engage with the AI Doctor Chatbot, entering symptoms and health details. The chatbot collects the information and feeds it to the underlying neural network.
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Symptom Analysis: The Google Gemini API processes the patient data and provides detailed diagnostic insights. It compares symptoms to a vast database of medical knowledge to offer an accurate diagnosis.
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Recommendation Engine: Based on the diagnosis, the system leverages Machine Learning algorithms to recommend the best medications. The suggestions are tailored to the patient's specific health conditions.
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User Interface: All this happens seamlessly within the React-based frontend, offering a responsive and smooth user experience. Patients can easily navigate the website to interact with the chatbot, view results, and get personalized health advice.
- Backend: Python, TensorFlow, PyTorch
- Frontend: React, JavaScript, HTML, CSS
- API Integration: Google Gemini API
- Machine Learning Algorithms: Neural Networks, Regression Models
- Chatbot: Neural Networks for Natural Language Processing (NLP)
- AI-Driven Precision: With AI Doctor, you’re getting more than just a general diagnosis. You’re receiving data-driven, scientifically backed medication recommendations based on real patient data.
- Accessible Healthcare: AI Doctor is available 24/7, making healthcare more accessible to those who need it most.
- Personalized Experience: The system doesn’t just offer generic advice – it tailors its responses and recommendations to the specific symptoms and conditions of the user.
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Clone the Repository: To get started with AI Doctor, simply clone this repository to your local machine.
git clone https://github.com/DeemTheDev/hackathon.git cd hackathon -
Install Dependencies: Install all necessary dependencies for both frontend and backend.
npm install # for React frontend pip install -r requirements.txt # for Python backend
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Run the Application:
RUN BACKEND:
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cd disease-diagnosis/
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streamlit run diagnosis.py --server.port 8501 --server.headless true
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cd treatment-plan/
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streamlit run treatment.py --server.port 8502 --server.headless true
RUN FRONT END:
- cd react-app/
- npm run dev
We welcome contributions! If you have ideas, improvements, or bug fixes, feel free to open an issue or submit a pull request.
- Fork the repo
- Create your feature branch (
git checkout -b feature-xyz) - Commit your changes (
git commit -am 'Add new feature') - Push to the branch (
git push origin feature-xyz) - Create a new Pull Request
Check out the live demo of AI Doctor in action:
This project is licensed under the MIT License - see the LICENSE file for details.
- Google Gemini API for providing the medical knowledge to accurately diagnose patients.
- TensorFlow & PyTorch for enabling the power of neural networks in diagnosing and recommending medication.
- The open-source community for providing resources and tools to make this project possible.
Thank you for checking out AI Doctor. We believe that AI can change the healthcare landscape, and we’re excited to take this journey with you. Whether you're a developer, healthcare professional, or enthusiast, we invite you to contribute and help improve this project!