RespirAI

AI-Driven Respiratory Disease Detection & Insight Provider

Overview

RespirAI is an intelligent system designed to:

1. Disease Detection – Identify respiratory conditions through a simple survey, supported by authentic medical data.
2. In-Depth Information – Access detailed insights on diseases like Asthma, Tuberculosis, Pneumonia, Whooping Cough, Pulmonary Hypertension, Rhinitis, and GBS (Guillain-Barré Syndrome).
3. AI-Powered Assistance – Get real-time answers to your queries about symptoms, causes, and treatments.
4. Breath Test & Health Survey – Measure your respiratory health with a breath test timer and personalized surveys for tailored insights.

Technologies used

• tailwind css, React.js (Frontend)
• java, SpringBoot (Backend)
• NeonDB (For Database )
• Docker (Containerization)
• EMBEDDING_MODEL: sentence-transformers/all-mpnet-base-v2
• model_name: mixtral-8x7b-32768 (For AI-powered insights)

Setup & Installation

1. Frontend (Client) Setup

1. Navigate to the Client directory:

   cd Client

2. Install the necessary Node.js dependencies:

   npm install

3. Start the frontend application:

   npm start

2. Model (ML) Setup with Docker

1. Navigate to the Models directory:

   cd Models

2. Build the Docker image for the model:

   docker build -t conversational-pdf-rag .

3. Run the Docker container and expose the necessary ports:

   docker run -p 8000:8000 -p 8501:8501 conversational-pdf-rag

3. Server (Spring Boot) Setup

1. Navigate to the Spring Boot project directory:

cd Backend

2. Build the project using Maven:

mvn clean install

3. Run the Spring Boot application:

mvn spring-boot:run

4. Verify the server is running: Open your browser or use a tool like Postman and visit:

GET http://localhost:8080/api/hello

5. Configure the database (DATABASE USED IN THIS PROJECT IS NEON): Update the application.properties or application.yml file with your database credentials: properties

spring.datasource.url=jdbc:mysql://localhost:3306/your-database
spring.datasource.username=root
spring.datasource.password=your-password

6. (Optional) Change the server port: If you want to run the server on a different port, update the application.properties file: properties

server.port=9090

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Respiratory Diseases Covered

🔹 Tuberculosis (TB) – Causes, symptoms, and treatment
🔹 Pneumonia – Causes, risk factors, and prevention
🔹 Asthma – Common triggers & management
🔹 Pulmonary Hypertension – Symptoms & complications
🔹 Whooping Cough (Pertussis) – How it spreads & prevention
🔹 Gulliean Barre Syndrome – Respiratory impact & care

Future Enhancements

1. Machine learning-powered disease prediction
2. Connecting patients with the necessary medical professionals according to the survey data
3. GPS-enabled search for nearby hospitals and clinics based on patient needs.