Travel Diary: CMPE281 - Cloud Project #2

Project Introduction:

Project Objective:

Travel diary application that goes beyond the traditional pen-and-paper format. This digital platform allows users to store and view images related to their travel experiences. What sets this application apart is its integration of artificial intelligence (AI) and machine learning (ML) models for image analysis, along with features like text translation and sentiment analysis.

The project's impact lies in offering a comprehensive and intelligent solution for documenting travel experiences. It goes beyond the basic functionalities of traditional travel diaries by leveraging AI to organize, translate, and add emotional context to entries. The application's relevance is evident in its ability to address common challenges faced by travelers, making it a valuable tool for those seeking a more enriched and technologically advanced way to capture and remember their journeys. The potential societal impact, through enhanced cultural understanding, adds an additional layer of significance to the project.

Features

Image Analysis
Image Categorization
Text Translation
Audio Pronunciation
Sentiment Analysis
Optical Character Recognition
File Cloud Storage

Sample Demo Screenshots

Creating a new Account

Login into Account

Home Page (Image Analysis and Tagging)

Text Translate

Optical Character Recognition (Extract Text From Images)

Architecture Diagram

Pre-requisites Set Up

Cloud Configuration

Before running the project, make sure to set up the following resources in your cloud account:

IAM User (With appropriate permissions)
S3 Bucket
CloudFront Distribution
RDS
AWS Cognito (from CLI / CloudFormation)
EC2
Load Balancer
Auto Scaling Groups
Route 53
AWS Lambda (from CLI / CloudFormation)
SNS

Local Software Requirements

Make sure you have the following software installed on your local machine:

NodeJS
NPM
AWS CLI
AWS Amplify CLI
VSCODE IDE
IntelliJ
MySQL Workbench
JDK 11
Maven
PostMan

Local Configuration

Setting Up Cloud Credentials Locally

Create IAM User
Grant Admin Access to Manage and Create Resources
Create access keys (remember to save them)
Configure Amplify with IAM User
```
$ amplify configure
```

Local Project Configuration

[Provide instructions on how to configure the project locally, if applicable]

How to Set Up and Run the Project Locally

Clone the Repository:

$ git clone https://github.com/Harshil-V/CMPE281-Cloud-Project-2

$ cd CMPE281-Cloud-Project-2

Frontend

1. Change Directory to /frontend

$ cd frontend

2. Install Dependencies

$ npm i # or npm install

3. Initialize Amplify

$ amplify init # complete the steps

4. Add Amplify Auth

$ amplify add auth # complete the steps

Note: Use 'Default configuration' and 'Sign In with Username'

5. Push to Publish AWS Resouces Config for Frontend

$ amplify push

Note: This uses CloudFromation

6. Make any change to API Endpoint on the code

$ npm run dev # application will be accessible at `http://localhost:5173/``

Note: Update baseURL where needed

Backend (Spring Boot)

Note: Have a JDK installation on your system. Either set the JAVA_HOME environment variable pointing to your JDK installation or have the java executable on your PATH.

This project uses JDK 11. To check your JDK version installed locally:

$ java -version

1. Change Directory to /backend

$ cd frontend

2. Run the below Maven cmd

$ mvn clean install

3. Run the below Maven cmd to create a jar in target folder

$ mvn clean package

4. To run the Spring boot application using jar

$ java -jar target/travel-app-0.0.1-SNAPSHOT.jar

5. To run the Spring boot application using Maven

$ mvn spring-boot:run

Backend (nodeJS)

1. Change Directory to /NLPfunctionality

$ cd NLPfunctionality