{"id":22583160,"url":"https://github.com/sloweyyy/emotionsense","last_synced_at":"2026-05-17T03:40:29.406Z","repository":{"id":244075182,"uuid":"814187580","full_name":"sloweyyy/EmotionSense","owner":"sloweyyy","description":"EmotionSense is an application that predicts facial expressions of humans through pictures.","archived":false,"fork":false,"pushed_at":"2024-07-20T06:32:27.000Z","size":696,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-10-07T21:42:06.227Z","etag":null,"topics":["artificial-intelligence","cv","machine-learning","tensorflow"],"latest_commit_sha":null,"homepage":"","language":"TypeScript","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/sloweyyy.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":"2024-06-12T14:03:03.000Z","updated_at":"2025-02-12T09:53:28.000Z","dependencies_parsed_at":"2024-06-17T16:28:54.527Z","dependency_job_id":"77384669-e4ac-4fe6-9bd5-ef9afa5bf186","html_url":"https://github.com/sloweyyy/EmotionSense","commit_stats":null,"previous_names":["sloweyyy/emotionsense"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/sloweyyy/EmotionSense","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sloweyyy%2FEmotionSense","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sloweyyy%2FEmotionSense/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sloweyyy%2FEmotionSense/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sloweyyy%2FEmotionSense/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/sloweyyy","download_url":"https://codeload.github.com/sloweyyy/EmotionSense/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sloweyyy%2FEmotionSense/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":278933663,"owners_count":26071264,"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","status":"online","status_checked_at":"2025-10-08T02:00:06.501Z","response_time":56,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"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":["artificial-intelligence","cv","machine-learning","tensorflow"],"created_at":"2024-12-08T06:14:02.709Z","updated_at":"2025-10-08T11:29:47.687Z","avatar_url":"https://github.com/sloweyyy.png","language":"TypeScript","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Welcome to EmotionSense 👋\n\nEmotionSense is an application that predicts facial expressions of humans through pictures. This project combines the power of machine learning and user-friendly interface to provide an insightful tool for understanding emotions conveyed through facial expressions.\n\n## Project Overview\n\nEmotionSense leverages a pre-trained machine learning model to analyze facial features in images and classify them into various emotional categories. The application is built using React Native for a cross-platform experience and utilizes a backend server for image processing and communication.\n\n## Get Started\n\n**Frontend:**\n\n1. **Install dependencies:**\n\n    ```bash\n    npm install\n    ```\n\n2. **Start the app:**\n\n    ```bash\n    npx expo start\n    ```\n\n**Backend:**\n\nThe backend code is hosted on a separate repository: [Here](https://github.com/sloweyyy/EmotionSenseBackend)\n\n**Machine Learning Model:**\n\nThe machine learning model used for facial expression recognition is available at: [Here](https://github.com/sloweyyy/Facial-expression-recognition-through-Portrait-Images)\n\n**Research Paper:**\n\nFor a detailed explanation of the methodology and performance of the machine learning model, please refer to the research paper: [Facial Emotion Recognition through Portrait Images](https://www.researchgate.net/publication/380533775_Facial_Expression_Recognition_using_Traditional_Machine_Learning_Models)\n\n## Contributing\n\nContributions to EmotionSense are welcome! If you'd like to contribute to the project, please fork the repository and submit a pull request.\n\n## License\n\nThis project is licensed under the MIT License.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsloweyyy%2Femotionsense","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsloweyyy%2Femotionsense","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsloweyyy%2Femotionsense/lists"}