https://github.com/codewebmobile-ai/reputation-ai
AI-powered customer feedback management for small businesses. Aggregate, analyze, and respond to reviews from multiple platforms to improve your reputation.
https://github.com/codewebmobile-ai/reputation-ai
fullstack laravel react typescript
Last synced: about 2 months ago
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AI-powered customer feedback management for small businesses. Aggregate, analyze, and respond to reviews from multiple platforms to improve your reputation.
- Host: GitHub
- URL: https://github.com/codewebmobile-ai/reputation-ai
- Owner: CodeWebMobile-AI
- Created: 2025-06-13T20:33:48.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-06-14T17:00:39.000Z (about 1 year ago)
- Last Synced: 2025-06-14T18:19:06.673Z (about 1 year ago)
- Topics: fullstack, laravel, react, typescript
- Size: 12.7 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
```markdown
# Reputation AI: AI-Powered Customer Feedback Management
**Description:** Reputation AI is a comprehensive customer feedback management solution designed to empower small businesses to effectively manage, analyze, and respond to customer reviews from various online platforms. By leveraging the power of AI, Reputation AI helps businesses improve their online reputation, enhance customer satisfaction, and gain a competitive edge.
## The Problem We Solve
Small businesses often struggle to monitor and respond to online reviews across multiple platforms due to limited resources and time. This can lead to negative reviews going unaddressed, damaging their reputation and ultimately impacting their bottom line. Reputation AI solves this problem by:
* **Centralizing review aggregation:** Collecting reviews from platforms like Google, Yelp, Facebook, and others into a single dashboard.
* **Providing AI-driven sentiment analysis:** Identifying the overall sentiment (positive, negative, neutral) of reviews to prioritize responses.
* **Generating AI-powered response suggestions:** Providing customizable response templates to help businesses quickly and effectively address customer feedback.
* **Offering performance tracking and reporting:** Monitoring key metrics like review volume, average rating, and sentiment trends to measure the impact of reputation management efforts.
## Key Features
* **Multi-Platform Review Aggregation:** Seamlessly integrates with popular review platforms (Google, Yelp, Facebook, TripAdvisor, etc.) to gather all reviews in one place. Support for new platforms can be added through configurable connectors.
* **AI-Powered Sentiment Analysis:** Employs machine learning algorithms to accurately determine the sentiment (positive, negative, neutral) behind each review, enabling businesses to prioritize urgent issues.
* **Intelligent Response Suggestions:** Generates context-aware response suggestions based on review content and sentiment, saving time and ensuring consistent messaging. Users can edit and customize these suggestions before posting.
* **Automated Response Handling:** Configurable rules-based automated responses for simple inquiries or FAQs. This allows for immediate engagement and shows customers they're being heard.
* **Performance Dashboard & Reporting:** Provides real-time insights into key metrics like review volume, average rating, sentiment score, and response time, allowing businesses to track their progress and identify areas for improvement.
* **Role-Based Access Control (RBAC):** Allows assigning different levels of access to team members, ensuring data security and compliance. Roles can be configured for managing responses, viewing reports, or administering the system.
* **Alerting & Notifications:** Real-time alerts for new reviews, negative feedback, or critical issues, ensuring timely action. Customizable notification settings allow users to control the frequency and delivery method of alerts.
* **Reputation Score Tracking:** Calculates and tracks a proprietary "Reputation Score" based on review data, giving businesses a clear understanding of their overall online reputation.
* **API Access:** Provides a RESTful API for seamless integration with other business applications and workflows. API documentation is provided via Swagger/OpenAPI specification.
## Tech Stack
* **Frontend:** React 19 with TypeScript
* **Backend:** Laravel 11 with PHP 8.3+
* **Database:** MySQL 8.0+ (or PostgreSQL 16+)
* **Styling:** Tailwind CSS
* **Authentication:** JWT (JSON Web Tokens)
* **Queueing:** Redis (for asynchronous tasks like sentiment analysis)
* **Build Tool:** Vite
* **AI/ML:** OpenAI's GPT models (or similar) for sentiment analysis and response generation. (Implementation details depend on API key setup and cost considerations.)
## Prerequisites
* **PHP:** Version 8.3 or higher with the following extensions enabled:
* `ext-mysqlnd` or `ext-pdo_mysql` (for MySQL) or `ext-pgsql` (for PostgreSQL)
* `ext-json`
* `ext-mbstring`
* `ext-openssl`
* `ext-tokenizer`
* `ext-xml`
* `ext-curl` (for API integrations)
* **Composer:** Latest version
* **Node.js:** Version 18 or higher
* **npm:** Latest version
* **MySQL** 8.0+ or **PostgreSQL** 16+ server
* **Redis** server (recommended for queueing)
* **An OpenAI API Key** (or similar AI service) if using the AI features.
## Installation Instructions
1. **Clone the repository:**
```bash
git clone
cd reputation-ai
```
2. **Install Composer dependencies:**
```bash
composer install
```
3. **Install npm dependencies:**
```bash
npm install
```
## Environment Setup
1. **Copy the `.env.example` file to `.env`:**
```bash
cp .env.example .env
```
2. **Configure the `.env` file:**
* **Database:** Set `DB_CONNECTION`, `DB_HOST`, `DB_PORT`, `DB_DATABASE`, `DB_USERNAME`, and `DB_PASSWORD` to match your MySQL or PostgreSQL database configuration.
* **Redis:** Set `REDIS_HOST`, `REDIS_PORT`, and `REDIS_PASSWORD` if you are using Redis for queueing.
* **OpenAI:** Set `OPENAI_API_KEY` to your OpenAI API key (if using AI features).
* **APP_URL**: Set to your application's URL (e.g., `http://localhost:8000`).
* **APP_DEBUG**: Set to `true` for development environments and `false` for production environments.
3. **Generate the application key:**
```bash
php artisan key:generate
```
4. **Run database migrations:**
```bash
php artisan migrate
```
5. **Seed the database (optional):** You can seed the database with some sample data using:
```bash
php artisan db:seed
```
## Development Workflow
1. **Start the Laravel development server:**
```bash
php artisan serve
```
2. **Start the Vite development server:**
```bash
npm run dev
```
3. **Access the application in your browser:** Navigate to the URL configured in your `.env` file (e.g., `http://localhost:8000`).
## Testing Instructions
1. **Run PHPUnit tests:**
```bash
php artisan test
```
2. **Run Jest tests (Frontend):**
```bash
npm run test:unit
```
(Ensure you have configured the test environment properly. This may involve setting up a mock API.)
## Deployment Guide
1. **Build the frontend assets:**
```bash
npm run build
```
2. **Configure your web server (e.g., Nginx, Apache) to serve the `public` directory.**
3. **Ensure your environment variables are properly configured on the production server.**
4. **Run database migrations:**
```bash
php artisan migrate --force
```
5. **Optimize the application for production:**
```bash
php artisan optimize:clear
php artisan config:cache
php artisan route:cache
php artisan view:cache
```
**Docker Deployment (Recommended):**
* A Dockerfile and `docker-compose.yml` file are recommended for easier deployment and environment consistency. (Example files should be created in the repository and documented here.)
## Contributing Guidelines
We welcome contributions to Reputation AI! To contribute:
1. Fork the repository.
2. Create a new branch for your feature or bug fix.
3. Make your changes and ensure that all tests pass.
4. Submit a pull request with a clear description of your changes.
Please follow the coding standards used in the project and write clear and concise commit messages. All code contributions require unit tests.
## License
This project is licensed under the [MIT License](LICENSE) - see the `LICENSE` file for details.
```