{"id":16201241,"url":"https://github.com/mjunaidca/job-applicant-ai-agent","last_synced_at":"2025-04-07T18:28:42.698Z","repository":{"id":250508160,"uuid":"810384221","full_name":"mjunaidca/job-applicant-ai-agent","owner":"mjunaidca","description":null,"archived":false,"fork":false,"pushed_at":"2024-06-05T10:43:49.000Z","size":393,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-13T20:19:26.253Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/mjunaidca.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-06-04T15:32:25.000Z","updated_at":"2024-07-27T23:38:32.000Z","dependencies_parsed_at":"2024-07-28T01:45:39.438Z","dependency_job_id":null,"html_url":"https://github.com/mjunaidca/job-applicant-ai-agent","commit_stats":null,"previous_names":["mjunaidca/job-applicant-ai-agent"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mjunaidca%2Fjob-applicant-ai-agent","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mjunaidca%2Fjob-applicant-ai-agent/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mjunaidca%2Fjob-applicant-ai-agent/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mjunaidca%2Fjob-applicant-ai-agent/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/mjunaidca","download_url":"https://codeload.github.com/mjunaidca/job-applicant-ai-agent/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247706642,"owners_count":20982640,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-10-10T09:36:37.959Z","updated_at":"2025-04-07T18:28:42.668Z","avatar_url":"https://github.com/mjunaidca.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# AI Agents and GPTs Base Cloud Native Microservice Template - Event Driven Architecture\n\n### Overview\nThis project implements a cloud-native ai microservice template with an event-driven architecture. \n\nThink of it as a starter kit to develop Multi Agents API's and Custom GPTs. It comes packed with:\n\n- Cloud Native Development Environment Setup\n- Authentication and User Management Microservice\n- Crew AI Multi Agent Microservice \n- Kafka for Asynchronous Communication Across Microservices\n- Kong as API Management Layer \n\nThere are a lot of exciting add-ons like Postgres, PgAdmin, Kafka-UI, Protobuf, Schema Registry base config and Central Management. The Goal here is to keep it a minimal starter kit without any closed source package or tools. The Authentication is managed fully by oauth-users microservice.\n\nBest part you just need Docker and VS Code to Run it - Nothing else on your Machine. Before Going to TOC head's on:\n\nWhat's Missing here is particularly Deployment and Testing Tools:\n- Kubernetes: Container orchestration system for automating deployment, scaling, and management.\n- Terraform: Infrastructure as Code (IaC) tool.\n- testcontainers: Provides lightweight, disposable instances of common databases.\n- GitHub Actions: CI/CD tool that automates workflows, including testing and deployment.\n- F.E: A Super Simple NextJS 15 F.E Client\n\n### Table of Contents\n- [Overview](#overview)\n- [Core Features](#core-features)\n- [Architecture](#architecture)\n- [Prerequisites](#prerequisites)\n- [Getting Started](#getting-started)\n- [Microservices](#microservices)\n  - [Auth Microservice](#auth-microservice)\n  - [Todo Microservice](#todo-microservice)\n  - [Recommendation Engine Microservice](#recommendation-engine-microservice)\n- [Event Service](#event-service)\n- [Frontend Client](#frontend-client)\n- [Contributing](#contributing)\n- [License](#license)\n\n### Core-Features\n- **Auth Microservice:** Handles user authentication using OAuth2, produces and consumes authentication events.\n- **Recommendation Engine:** AI Agent that Generates recommendations and perform actions - we have used Crew AI as base Multi Agent model, to sends recommendations via email, and produces events for saving recommendations.\n- **Event Service:** Uses Kafka for managing and routing events between microservices.\n- **Scalability and Resilience:** Designed for horizontal scaling and includes circuit breaker patterns.\n- **Advanced Analytics and Logging:** Centralized logging and monitoring with tools like Prometheus.\n\n### Architecture\n![Architecture Diagram](path_to_architecture_diagram.png)\n\n### Prerequisites\n- [VSCode](https://code.visualstudio.com/)\n- [Docker Desktop](https://www.docker.com/products/docker-desktop/)\n- Ready to Make Some Cool AI Agents\n\n### Getting Started\n1. **Clone the Repository:**\n   ```bash\n   git clone ...\n   cd cloud-native-microservice-template\n    ```\n\n2. **Set Up Environment:**\nEnsure you have Docker Desktop installed.\n\n3. **Start Services with Docker Compose:**\n\n```bash\ndocker-compose up --build\n```\n\n4. **Access Services:**\n\n- Auth Server: http://localhost:9000\n- Todo Server: http://localhost:9002/\n- Recommendation Server: http://localhost:9001\n- PGAdmin: http://localhost:8010\n- Kafka UI: http://localhost:8080\n- Kong GUI: http://localhost:8002\n- Kong Reverse Proxy Base Route: http://localhost:8000\n\n### Microservices\n\n#### Auth Microservice\n**Purpose:** Handles user authentication and authorization.\n\n**Features:**\n- User registration\n- User login\n- Token management (OAuth2)\n\n**Events Produced:**\n- UserRegistered\n- UserLoggedIn\n- TokenIssued\n\n#### Recommendation Engine Microservice\n**Purpose:** Generates and sends task recommendations in MailBox.\n\n**Features:**\n- Generate recommendations using CrewAI Agent\n- Send recommendations via email\n\n\u003c!-- **Events Produced:**\n- RecommendationGenerated\n- RecommendationSaved --\u003e\n\n**Events Consumed:**\n- Todo Created\n\n\n## Contributing\nWe welcome contributions from the community. Please read our Contributing Guidelines before submitting a pull request.\n\n## License\nThis project is licensed under the MIT License. See the LICENSE file for more details.\n\nThis project is part of the PanaCloud Assignment. For more details, visit the Assignment Documentation.\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmjunaidca%2Fjob-applicant-ai-agent","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmjunaidca%2Fjob-applicant-ai-agent","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmjunaidca%2Fjob-applicant-ai-agent/lists"}