ReputeAI is a small platform that helps individuals and teams understand and manage their online reputation. It collects public content, runs basic analysis and scoring, and provides a simple dashboard of insights and alerts so you can quickly see and act on reputation risks.

This README gives a short overview, how to run the project locally, and where to look if you want to extend or deploy it.

• Backend: Spring Boot services, data model, and background jobs for content ingestion and analysis.
• Frontend: Angular application with the main UI and components for reports and dashboards.
• Dev tooling: Docker-compose files and example configuration for local development.

• Backend: Spring Boot (Java 17+), Spring Data JPA, Flyway
• Database: MySQL
• Cache / queue (optional): Redis / SQS
• Frontend: Angular, TypeScript
• Infrastructure: Docker, optionally deployed to AWS (RDS, S3, ECS / CloudFront)

Typical layout you will find in this repo:

reputeai/

• server/ # Backend service(s) (may be named backend in some forks)
• frontend/ # Angular app
• docker/ # Dockerfiles and docker-compose for local dev

Paths and exact names may vary; search the repo for pom.xml or package.json to locate the services.

These steps get the backend and frontend running on your machine for development and testing.

Prerequisites:

• Java 17+ and Maven (for backend)
• Node.js and npm (for frontend)
• MySQL (or use Docker to run a local instance)
• Docker (optional, recommended for a consistent local setup)

1. Start a local database (quick using Docker)

docker run --name repute-mysql -e MYSQL_ROOT_PASSWORD=root -e MYSQL_DATABASE=repute -p 3306:3306 -d mysql:8

2. Backend

cd server
# Copy or create application.yml from the example if present
cp src/main/resources/application-example.yml src/main/resources/application.yml || true
mvn clean install -DskipTests
mvn spring-boot:run

The backend usually runs on http://localhost:8080 by default.

3. Frontend

cd frontend
npm install
ng serve --open

The frontend usually runs on http://localhost:4200.

4. Docker-compose (optional)

If the repository includes a docker-compose.yml, you can run the full stack with:

docker-compose up --build

Look for example configuration files under server/src/main/resources and frontend.

Common environment variables used by the project (names may vary):

• DB_HOST, DB_PORT, DB_USER, DB_PASS
• JWT_SECRET (if authentication is enabled)
• REDIS_HOST (optional)
• AWS_REGION, S3_BUCKET (optional production settings)

For production, secrets should be stored in a secret manager (AWS Secrets Manager, vault, etc.).

• Backend: run mvn test in the server folder.
• Frontend: run npm test or the framework's test command in the frontend folder.

If you see references to Testcontainers, the integration tests may spin up temporary MySQL or Redis containers.

This project is structured to be containerized. Typical deployment flow:

• Build and containerize the backend and frontend.
• Push images to a container registry.
• Use a managed service like ECS/Fargate or Kubernetes to run the services.
• Use RDS for the database and S3 for static assets.

CI/CD can be implemented with GitHub Actions or your preferred pipeline.

If you want to contribute:

1. Create a feature branch from dev_v1 or main.
2. Make small, focused commits with clear messages.
3. Run tests and linters before opening a PR.
4. Open a PR and add a short description of what changed and why.

Ashish Jha — ajha5645@gmail.com

• I rewrote the README to sound more natural while keeping the original technical information.
• Assumption: the backend service lives in server/ (your repo shows server/ at the top-level). If your backend folder is named backend/, I'll change the instructions to match.
• I can also add a CONTRIBUTING.md, a short architecture diagram, or a sample .env if you'd like.