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This repo contains code for the project GenAICare build during the 36 hrs hackathon Statuscode_0

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Hi 👋, We're Spambytes


Welcome to GenAiCare, your ultimate platform for detecting disease.


Description:-


Our platform GenAiCare leverages the power of artificial intelligence to revolutionize the way diseases are detected, diagnosed and appoint doctor for you. With advanced machine learning algorithms and deep neural networks, we offer a cutting-edge solution for accurate and efficient disease identification.


Features:-


  • Fast and Accurate Diagnosis⏲️: Our AI-powered system analyzes medical data and images swiftly, providing disease predictions to assist healthcare professionals in making informed decisions.
  • User-Friendly Interface🤗: Our user-friendly website ensures a seamless experience for both medical practitioners and patients, making the process of disease detection intuitive and accessible.
  • Secure and Private🤐: We prioritize the security and privacy of your medical information. Our platform adheres to strict data protection standards to ensure that your sensitive data remains confidential.
  • Make appointments🩺: Users can browse and search for doctors based on their specialization, location, and availability.
  • Chatbot🤖:A friendly AI chatbot is available to assist users 24/7. The chatbot can help users with their problem.
  • payment💵:Our website offers a convenient and secure payment option for various services and transactions. Making payments is quick and hassle-free, ensuring a seamless experience for our users.
  • Diagnosis⚕️:Our website includes a powerful and user-friendly diagnosis feature that empowers you to assess potential health conditions based on your symptoms.
  • Contact in the hospital authority 🏥: If you need to get in touch with the hospital authority for inquiries, feedback, or assistance, we're here to help. You can reach us through the following channels:
    • Phone: +91 123-456-7890
    • Email: info@hospitalname.com

    How It Works:-


  • Upload Data: Users can upload medical records, test results, and images through the website's secure portal.
  • AI Analysis: Our advanced AI algorithms analyze the uploaded data, leveraging patterns and correlations to identify potential diseases.
  • Instant Results: Within seconds, users receive detailed reports outlining the AI's disease predictions and suggested next steps.
  • Collaboration: Healthcare professionals can use our platform to collaborate, discuss cases, and share insights, enhancing the accuracy of diagnoses.

    AI Models Used:-



  • Breast cancer detection:-
      logistic regression
  • parkinson disease:-
      support factor machine (svm)
  • Diabetes:-
      linear regression & sigmoid
  • Heart disease:-
      decision tree classifier & vector classifier

    API:-


    For this project, we have constructed 2 rest APIS that allow us to configure the appointments and contacts to suit our needs and to allow change. We plan on changing these open routes into protected routes.

    Currently, our Project supports 2 API endpoints:-

    • /contacts

      This is a rest API that implements CRUD functionality for appointments

    • /apointments

      This is a rest API that implements CRUD functionality for appointments


    Getting Started:-


    To dive into the world of GenAIcare:
    • Visit our website: https://www.GenAiCare.com
    • Create an account to access exclusive content and community features.
    • Explore health articles, discover wellness practitioners, and engage in discussions.

    Tools Used:


    Version 1.0.0 (2023-08-13)

    1. Auth0
    2. MongoDB Atlas
    3. Postman
    4. Streamlit
    5. Github
    6. Github Pages

Acknowledgments


We would like to express our sincere gratitude to the following individuals and resources that contributed to the development of our hackathon project:
  • Team Members👥:
    1. Tamaghna Chowdhury,
    2. Subham Das,
    3. Subhodeep Mondal,
    4. Soumyadeep Sen,
    5. Sourish Chandra
  • Mentors and Advisors: We would like to express our heartfelt gratitude to the following mentors for their invaluable support and guidance throughout the development of this project:
  • Third-Party APIs and Libraries: We utilized the following APIs and libraries that significantly enhanced our project's functionality:
    1. Scikit-Learn
    2. Express
    3. React
    4. Auth0
    5. MongoDB
    6. NodeJs
      and many more.
  • Hackathon Organizers: We would like to thank the organizers of statuscode0 for creating an engaging and enriching hackathon experience.

    We are truly appreciative of all the support and resources that contributed to the success of our hackathon project.

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This repo contains code for the project GenAICare build during the 36 hrs hackathon Statuscode_0

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