PetPulse Application

This repository contains the source code for the PetPulse application, which includes a React-based frontend, a Spring Boot backend, and additional programs for machine learning and chatbot functionalities.

Project Structure

Frontend (React Application)

Folder: Frontend

• Contains the React application code.
• Key Components:
  • Scripts Folder:
    • Subfolders for each page, including the respective components, styling files, and additional images.
    • Subfolders for reusable components like animations and navbars.
  • App.tsx:
    • The main entry point for the server start, containing the route logic for navigating the application.

Backend (Spring Boot Application)

Folder: Backend

• Contains the main Spring Boot application for PetPulse.
• Key Components:
  • Models:
    • Entities: Contains the entity classes.
    • Data Transfer Objects (DTOs): Contains the data transfer objects.
  • Controllers: Contains the controller classes.
  • Services: Contains the service classes.
  • Repositories: Contains the repository interfaces.
  • Exceptions: Defines custom exceptions used in the application.
  • Config: Contains necessary configuration files.

Additionally Programs

Folder: Additionally programs

• Chatbot Training Files: Contains files necessary for training the chatbot.
• TensorFlow Model: Contains the Python project used to run the TensorFlow model for image recognition.

Getting Started

Prerequisites

• Node.js and npm for the frontend.
• Java and Maven for the backend.
• Python and necessary libraries for additional programs.

Installation

Frontend

1. Navigate to the Frontend directory:

   cd Frontend
   

2. Install the dependencies:

   npm install
   

3. Start the development server:

   npm start
   

Backend

1. Navigate to the Backend directory:

   cd Backend
   

2. Build the project using Maven:

   mvn clean install
   

3. Run the Spring Boot application:

    mvn spring-boot:run