{"id":32938142,"url":"https://github.com/rayfin774/face-and-hand-gestures-detection-model","last_synced_at":"2025-11-12T06:01:26.442Z","repository":{"id":323001439,"uuid":"1091744447","full_name":"rayfin774/Face-and-Hand-Gestures-Detection-model","owner":"rayfin774","description":"Real-time Face \u0026 Hand Detection using MediaPipe Framework which  Detects emotions (Happy, Sad, Angry) and Gestures (Thumbs Up, Peace, Pointing) live via webcam!","archived":false,"fork":false,"pushed_at":"2025-11-07T14:48:55.000Z","size":5910,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2025-11-07T15:19:00.833Z","etag":null,"topics":["matplotlib","mediapipe","opencv","python","sckiit-learn"],"latest_commit_sha":null,"homepage":"","language":null,"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/rayfin774.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,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2025-11-07T13:06:05.000Z","updated_at":"2025-11-07T15:08:47.000Z","dependencies_parsed_at":null,"dependency_job_id":null,"html_url":"https://github.com/rayfin774/Face-and-Hand-Gestures-Detection-model","commit_stats":null,"previous_names":["rayfin774/face-and-hand-gestures-detection-model"],"tags_count":null,"template":false,"template_full_name":null,"purl":"pkg:github/rayfin774/Face-and-Hand-Gestures-Detection-model","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rayfin774%2FFace-and-Hand-Gestures-Detection-model","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rayfin774%2FFace-and-Hand-Gestures-Detection-model/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rayfin774%2FFace-and-Hand-Gestures-Detection-model/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rayfin774%2FFace-and-Hand-Gestures-Detection-model/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/rayfin774","download_url":"https://codeload.github.com/rayfin774/Face-and-Hand-Gestures-Detection-model/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rayfin774%2FFace-and-Hand-Gestures-Detection-model/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":283983990,"owners_count":26927577,"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":"2025-11-12T02:00:06.336Z","response_time":59,"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":["matplotlib","mediapipe","opencv","python","sckiit-learn"],"created_at":"2025-11-12T06:01:20.288Z","updated_at":"2025-11-12T06:01:26.435Z","avatar_url":"https://github.com/rayfin774.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":" ## Facial Emotion and Hand Gesture Detection using MediaPipe \u0026 Machine Learning\n\n##  Overview of my Project\n\nThis project presents a **real-time Facial Emotion and Hand Gesture Detection System** that leverages **MediaPipe** and **Machine Learning** to identify human facial expressions and hand gestures using a live webcam feed.  \nThe system aims to enhance **human–computer interaction** by enabling intuitive communication through **facial emotions** and **hand gestures**.\n\nIt can detect and classify multiple expressions such as *happy, sad, angry*, and recognize gestures like *thumbs up, peace, pointing,* and *open hand* in real-time.\n\n---\n\n##  Key Features\n\n-  **Real-Time Detection:** Face and hand landmarks captured via webcam.  \n-  **Emotion Recognition:** Detects happiness, sadness, and anger based on facial landmarks.  \n-  **Gesture Recognition:** Recognizes common hand gestures like thumbs up, peace, etc.  \n-  **Machine Learning Integration:** Uses a trained Random Forest model for classification.  \n-  **Interactive GUI:** Displays live predictions for user engagement.  \n-  **Model Serialization:** Models saved using Joblib for reusability.  \n\n---\n\n##  Tools \u0026 Technologies \n\n| Category | Tools Used |\n|-----------|-------------|\n| **Programming Languages** | Python |\n| **Libraries \u0026 Frameworks** | MediaPipe, OpenCV, Scikit-learn, Joblib, Matplotlib |\n| **Hardware Requirement** | Webcam-enabled device |\n| **IDE / Environment** | VS Code, Jupyter Notebook, XAMPP (for web integration) |\n\n---\n\n##  Project Workflow\n\n1. **Data Collection \u0026 Preprocessing**  \n   - MediaPipe detects facial (468 points) and hand (21 points) landmarks.  \n   - Extracted coordinates converted into numerical feature vectors.  \n\n2. **Model Training**  \n   - Random Forest Classifier trained on processed facial and gesture data.  \n   - Models saved using Joblib (`.pkl` format) which is converted to (`.csv` format) .  \n\n3. **Real-Time Detection**  \n   - Live video feed analyzed using OpenCV.  \n   - Facial expressions and gestures predicted and displayed on GUI.  \n\n---\n\n###  Clone the Repository\n\n```bash\ngit clone https://github.com/\u003cyour-username\u003e/Facial-Emotion-and-Hand-Gesture-Detection.git\ncd Facial-Emotion-and-Hand-Gesture-Detection\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frayfin774%2Fface-and-hand-gestures-detection-model","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frayfin774%2Fface-and-hand-gestures-detection-model","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frayfin774%2Fface-and-hand-gestures-detection-model/lists"}