{"id":20309451,"url":"https://github.com/josedanielcr/aiorchestra","last_synced_at":"2026-01-07T22:35:54.867Z","repository":{"id":237793535,"uuid":"795257421","full_name":"josedanielcr/AIOrchestra","owner":"josedanielcr","description":"AIOrchestra is a microservice-based application that provides personalized song recommendations. It uses .NET Core, Kafka, and a cosine similarity-based recommendation system to deliver tailored music suggestions.","archived":false,"fork":false,"pushed_at":"2024-07-25T04:36:57.000Z","size":6819,"stargazers_count":2,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-02-04T00:20:36.754Z","etag":null,"topics":["angular","apache-kafka","docker","dot-net-core","event-driven-architecture","microservices"],"latest_commit_sha":null,"homepage":"","language":"C#","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/josedanielcr.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":"2024-05-02T22:35:28.000Z","updated_at":"2024-07-25T04:38:02.000Z","dependencies_parsed_at":"2024-05-15T15:21:08.565Z","dependency_job_id":"e787d09d-bf57-4d78-827c-5c238b8e1851","html_url":"https://github.com/josedanielcr/AIOrchestra","commit_stats":null,"previous_names":["josedanielcr/aiorchestra"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/josedanielcr%2FAIOrchestra","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/josedanielcr%2FAIOrchestra/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/josedanielcr%2FAIOrchestra/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/josedanielcr%2FAIOrchestra/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/josedanielcr","download_url":"https://codeload.github.com/josedanielcr/AIOrchestra/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":246164450,"owners_count":20733807,"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":["angular","apache-kafka","docker","dot-net-core","event-driven-architecture","microservices"],"created_at":"2024-11-14T17:27:19.252Z","updated_at":"2026-01-07T22:35:54.840Z","avatar_url":"https://github.com/josedanielcr.png","language":"C#","funding_links":[],"categories":[],"sub_categories":[],"readme":"# AIOrchestra\nAIOrchestra leverages a scalable and efficient event-driven architecture with microservices to deliver personalized song recommendations. It is built using .NET Core, Kafka, Docker, and a recommendation system based on cosine similarity, making it an ideal project for learning and practicing these technologies.\n\n## Table of Contents\n- [Features](#features)\n- [Technologies](#technologies)\n- [Installation and Running Guide](#installation-and-running-guide)\n- [Possible Errors](#possible-errors)\n\n## Features\n- **Microservice Architecture**: Independent, scalable services for different functionalities.\n- **Event-Driven Architecture**: Utilizes Kafka for asynchronous communication between services.\n- **Music Recommendation**: Custom recommendation system using cosine similarity to find similar songs based on user preferences.\n- **Docker**: Containerized services for consistent deployment and management.\n\n## Technologies\n- **.NET Core**: Framework for building microservices.\n- **Kafka**: Event streaming platform for managing communication between services.\n- **Docker**: Containerization for deployment consistency.\n\n## Installation and Running Guide\nFollow these steps to set up and run AIOrchestra:\n\n- Clone the repository:\n  cd AIOrchestra\n\n- Add a folder named `certificates` at the root of the project.\n\n- Add `dotnet-dev-certs` to the `certificates` folder. Check Microsoft Documentation (https://learn.microsoft.com/en-us/dotnet/core/tools/dotnet-dev-certs) for more information.\n\n- Navigate to the `MusicRecommenderService` directory and add a `certificates` folder.\n\n- Add the server certificates (`server.crt` and `server.key`) to the `certificates` folder. Check this guide (https://helpcenter.gsx.com/hc/en-us/articles/115015960428-How-to-Generate-a-Self-Signed-Certificate-and-Private-Key-using-OpenSSL) for more information.\n\n- Stay in the `MusicRecommenderService` directory and add a `data` folder.\n\n- Download the `Music Info.csv` from this Kaggle dataset (https://www.kaggle.com/datasets/undefinenull/million-song-dataset-spotify-lastfm).\n\n- Add the downloaded CSV file to the `data` folder and rename it to `music_data.csv`.\n\n- In the root folder of the project, run the following command to build and start the services:\n  docker compose up --build -d\n\n- Go to http://localhost:4200 to enjoy some music recommendations.\n\n  ## Possible Errors\n- If `kafka broker-1` does not start automatically, rerun it from Docker Desktop using the \"\u003e\" button.\n- If the website does not render information, navigate directly to http://localhost:4200/explore.\n- If after logging in for the first time nothing happens, reload the page as the services and Kafka broker are warming up.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjosedanielcr%2Faiorchestra","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjosedanielcr%2Faiorchestra","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjosedanielcr%2Faiorchestra/lists"}