{"id":15014087,"url":"https://github.com/teakulo/eventime-app","last_synced_at":"2025-04-09T05:17:11.497Z","repository":{"id":244554163,"uuid":"812713176","full_name":"teakulo/Eventime-app","owner":"teakulo","description":" Eventime App is an event management platform using Angular, Spring Boot, Flask, and PostgreSQL. It offers AI-powered event recommendations, social features, and secure authentication. 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The system leverages Natural Language Processing (NLP) techniques for text processing and provides functionalities for creating, editing, and viewing events from a database. The application features a calendar for event management and includes a robust backend for authentication and data handling.\n\n## Features\n\n- **Event Management**: Users can create, edit, and view events.\n- **Calendar Integration**: A calendar view to manage events efficiently.\n- **NLP Processing**: Utilises various NLP techniques such as NLTK WordNet for dictionary-based approaches, lemmatisation, and synonyms.\n- **Authentication**: Secure login and signup functionalities.\n- **AI-Powered Recommendations**: Events are recommended based on text processing using NLP techniques.\n- **Testing**: Postman used for testing API endpoints.\n- **Chatbot**: Chat with a chatbot to get event recommendations.\n\n## Technologies Used\n\n### Frontend\n\n- **Angular**: Framework for building the user interface.\n- **Angular Material**: UI components for Angular.\n- **Bootstrap/NGX-Bootstrap**: For responsive design and additional UI components.\n- **Angular OAuth2 OIDC**: For handling authentication.\n- **Date-Fns**: Library for date manipulation.\n- **JWT-Decode**: Library for decoding JSON Web Tokens.\n\n### Backend\n\n- **Spring Boot**: Framework for building the backend application.\n- **Spring Security**: For authentication and authorisation.\n- **PostgreSQL**: Database for storing user and event data.\n- **HikariCP**: Connection pooling for PostgreSQL.\n- **Lombok**: For reducing boilerplate code.\n- **JJWT**: For JWT creation and parsing.\n- **Commons Validator**: For data validation.\n\n### NLP and AI\n\n- **SpaCy**: Library for advanced NLP in Python.\n- **NLTK WordNet**: For dictionary-based approaches and synonyms.\n- **Lemmatisation**: Reducing words to their base or root form.\n\n### Chatbot\n\n- **Flask**: Python framework for the chatbot.\n- **SpaCy**: For NLP in chatbot.\n- **NLTK**: For additional NLP tasks.\n\n## Application Structure\n\n### Backend\n\n- **Spring Boot Application**: Manages the business logic, data access, and authentication.\n- **Repositories**: Interfaces for data access using Spring Data JPA.\n- **Services**: Business logic for handling event and user operations.\n- **Controllers**: RESTful endpoints for frontend communication.\n- **Security**: Configured using Spring Security for login and signup processes.\n\n### Frontend\n\n- **Angular Application**: Manages the user interface and communicates with the backend via RESTful APIs.\n- **Components**: Modular UI components for managing events and user interactions.\n- **Services**: Angular services for handling API calls and business logic on the client side.\n- **Routing**: Configured for navigating between different views within the application.\n\n### Chatbot\n\n- **Flask Application**: Manages the chatbot interactions.\n- **Endpoints**: RESTful endpoints for chatbot communication.\n- **NLP Processing**: Uses SpaCy and NLTK for processing user input.\n\n## Getting Started\n\n### Prerequisites\n\n- **Node.js**: Required for running Angular.\n- **Java**: Required for running Spring Boot.\n- **Python 3.9**: Required for running NLP tasks with SpaCy and Flask.\n- **PostgreSQL**: Database setup.\n- **Flask**: Required for running the chatbot.\n\n### Installation\n\n1. **Clone the Repository**:\n   ```sh\n   git clone https://github.com/teakulo/ETfrontend.git\n   ```\n\n2. **Backend Setup**:\n   - Navigate to the backend directory.\n   - Configure the database settings in `application.yml`.\n   - Run the Spring Boot application:\n     ```sh\n     ./mvnw spring-boot:run\n     ```\n\n3. **Frontend Setup**:\n   - Navigate to the frontend directory.\n   - Install dependencies:\n     ```sh\n     npm install\n     ```\n   - Run the Angular application:\n     ```sh\n     ng serve\n     ```\n\n4. **Chatbot Setup**:\n   - Navigate to the chatbot directory.\n   - Install Python dependencies:\n     ```sh\n     pip install -r requirements.txt\n     ```\n   - Run the Flask application:\n     ```sh\n     flask run\n     ```\n\n### Usage\n\n- **Access the application** at `http://localhost:4200`.\n- **Sign up or log in** to start managing your events.\n- **Chat with the chatbot** to get event recommendations.\n- **See who is attending** events and add friends.\n- **Edit your profile** information.\n- **View events you are attending** on your calendar.\n- **Scroll through the homepage** to see various events.\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fteakulo%2Feventime-app","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fteakulo%2Feventime-app","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fteakulo%2Feventime-app/lists"}