{"id":24743499,"url":"https://github.com/marat200118/creative-code-3-learning-machine-assignment","last_synced_at":"2025-03-22T21:45:39.951Z","repository":{"id":199551931,"uuid":"697669950","full_name":"Marat200118/Creative-Code-3-Learning-Machine-Assignment","owner":"Marat200118","description":"Devine - Creative Code 3 (The squat Alarm made with PoseNet and KNN clarifier, to switch the alarm off, make some squats)","archived":false,"fork":false,"pushed_at":"2023-10-26T11:16:36.000Z","size":4934,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-28T01:38:34.258Z","etag":null,"topics":["knn-classification","machine-learning","ml5js","pose-net","pose-recognition"],"latest_commit_sha":null,"homepage":"https://marats-samigullins.com/GetUpYouLazy/","language":"JavaScript","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/Marat200118.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":"2023-09-28T08:29:12.000Z","updated_at":"2024-02-15T10:16:47.000Z","dependencies_parsed_at":"2023-10-16T06:26:38.887Z","dependency_job_id":"1e970b57-7bc7-4542-9783-4f413728f537","html_url":"https://github.com/Marat200118/Creative-Code-3-Learning-Machine-Assignment","commit_stats":null,"previous_names":["marat200118/creative-code-3-learning-machine-assignment"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Marat200118%2FCreative-Code-3-Learning-Machine-Assignment","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Marat200118%2FCreative-Code-3-Learning-Machine-Assignment/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Marat200118%2FCreative-Code-3-Learning-Machine-Assignment/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Marat200118%2FCreative-Code-3-Learning-Machine-Assignment/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Marat200118","download_url":"https://codeload.github.com/Marat200118/Creative-Code-3-Learning-Machine-Assignment/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":245026000,"owners_count":20549067,"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":["knn-classification","machine-learning","ml5js","pose-net","pose-recognition"],"created_at":"2025-01-28T01:36:18.688Z","updated_at":"2025-03-22T21:45:39.916Z","avatar_url":"https://github.com/Marat200118.png","language":"JavaScript","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Pose Exercise Alarm 🏋️‍♂️⏰\nDevine - Creative code 3 course\n\nA unique alarm application that utilizes machine learning models to track user movements and turn off the alarm only when the user completes a set number of exercises!\n\n\n# Overview\nThe Pose Exercise Alarm system combines the power of the KNN classifier with the PoseNet model to detect user-defined movements. Users can set an alarm and the only way to turn it off is by doing the specified number of squats.\n\n# Features\n1. Live Video Feed: Capture and display the user's pose in real-time.\n2. Customizable Alarm Settings: Set the alarm time, choose an exercise, and define the number of repetitions.\n3. Pose Detection: Utilizes the PoseNet model for accurate pose detection.\n4. Interactive Interface: Visual feedback on the number of repetitions and the confidence level of the pose detection.\n5. Model Training \u0026 Saving: Ability to add data for poses and save/load the KNN model.\n\n# Usage\n1. Set the Alarm: Select the desired alarm time.\n2. Choose an Exercise: For now, we support squats but more exercises can be added in the future.\n3. Define Repetitions: Set the number of repetitions required to turn off the alarm.\n4. Train the Model:\n-- Click the \"Class A\" button while performing the exercise (e.g., in a squat position).\n-- Click the \"Class B\" button while standing up.\n-- Add enough samples for both classes for accurate predictions.\n5. Save/Load Model: After training, you can save the model for future use and load it whenever needed.\n\nWhen the alarm time arrives, perform the specified number of repetitions to stop the alarm.","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmarat200118%2Fcreative-code-3-learning-machine-assignment","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmarat200118%2Fcreative-code-3-learning-machine-assignment","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmarat200118%2Fcreative-code-3-learning-machine-assignment/lists"}