Welcome to Arogyam-Kiosk - The A.I & ML based Health Assistant. This web application is designed to predict diseases using Artificial Intelligence and Machine Learning, providing diagnostic tools for early illness detection and promoting preventive health through data analysis.
- How To Use
- Features
- Datasets
- Machine Learning
- NLP Based Bot
- A.I Interface
- Medicine Prediction
- Early Disease Prediction
- Book an Appointment
- Currently Active Disease
- Find Doctors
- Top Best Doctor
- Health Insurance Comparison
- Ask Your Query to Doctor
- Check Medicine
- Team
- Login
- Biometric Authentication
- Our Partners
- Contact Us
Follow these steps to set up and run the project:
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Clone the Repository: Clone the repository
git clone https://github.com/Sudhaanshuu/Arogyam.git -
Navigate to the Directory: Use the command
cd Arogyam/Modelto navigate to the specific directory. -
Install Dependencies: Run the command to download all the libraries of the Python engine. Use the command
pip install -r requirements.txt -
Run the Streamlit App: Execute the command
streamlit run su.pyin the terminal. -
Navigate Back to Main Directory: Go back to the main directory, which is 'Arogyam', by using the command
cd .. -
Open index.html: Open the 'index.html' file with a live server.
That's it! You have successfully set up and run the project.
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Video Call: This feature allows users to conduct video calls with healthcare professionals. It provides a platform for real-time interaction and consultation.
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ML Models: The application incorporates various Machine Learning models. These models are used to analyze data, make predictions, and provide personalized healthcare recommendations.
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Contact Now: Users can find contact information and support details. This feature ensures that help is just a click away.
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NLP Bot: The application includes a Natural Language Processing (NLP) bot. This bot can understand and respond to user queries in a natural, conversational manner.
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Appointment Booking: Users can conveniently book appointments with doctors. This feature simplifies the process of scheduling healthcare appointments.
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Locate Doctor: This feature helps users find doctors in various locations. It makes it easier for users to access healthcare services.
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Ask Doctor: This feature allows users to directly ask queries to doctors. It bridges the gap between users and healthcare professionals, ensuring that users' health concerns are addressed promptly.
These features are designed to provide a comprehensive and user-friendly healthcare experience. The application aims to make healthcare more accessible and personalized for each user.
This project utilizes a vast amount of datasets for accurate disease prediction.
Multiple ML models are employed for disease prediction.
We develop an Ai Bot using the NLP
We aim to make the entire system A.I Interface based for user convenience.
Predict prescriptions and possible medicines using advanced algorithms.
Our solutions enhance early disease prediction through complex medical data analysis using models like Random Forests, Naive Bayes, and Decision Trees.
- Random Forests: 84%
- Naive Bayes: 88%
- Decision Tree: 91%
Schedule appointments, view upcoming meetings, and get meeting details.
Stay informed about currently active diseases with visual representations.
Search for doctors in your city, view top doctors, and book appointments.
list of best doctors in your city, view top doctors.
Compare health insurance plans for informed decision-making.
Ask health-related queries to our team.
Function to check medicine availability
Meet the minds behind Arogyam-Kiosk:
- Sudhanshu Kumar: Student, Coder, Designer
- Aman Ujwal Toppo: Coder, Developer
Login to your account securely.
Use biometric authentication for added security.
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Feel free to send us a message or call us at +91 8252228793. We value your thoughts and feedback.
© Copyright 2023 Sudhanshu. All Rights Reserved. Design by Sudhanshu.