{"id":15195338,"url":"https://github.com/meghana0308/emotion_detection","last_synced_at":"2026-03-06T10:05:53.808Z","repository":{"id":254584815,"uuid":"846976762","full_name":"meghana0308/emotion_detection","owner":"meghana0308","description":"A real-time emotion detection system that uses a deep learning model and webcam to classify facial expressions into seven different emotions.","archived":false,"fork":false,"pushed_at":"2024-08-24T16:02:11.000Z","size":69121,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-11-27T14:40:24.970Z","etag":null,"topics":["cnn","jupyter","machine-learning","notebook","opencv","python"],"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/meghana0308.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":"2024-08-24T13:51:39.000Z","updated_at":"2024-08-24T16:11:18.000Z","dependencies_parsed_at":null,"dependency_job_id":"28d171a3-babd-42f2-a3ff-f7e2da6908af","html_url":"https://github.com/meghana0308/emotion_detection","commit_stats":null,"previous_names":["meghana0308/emotion_detection"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/meghana0308/emotion_detection","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/meghana0308%2Femotion_detection","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/meghana0308%2Femotion_detection/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/meghana0308%2Femotion_detection/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/meghana0308%2Femotion_detection/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/meghana0308","download_url":"https://codeload.github.com/meghana0308/emotion_detection/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/meghana0308%2Femotion_detection/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":30171657,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-03-06T07:56:45.623Z","status":"ssl_error","status_checked_at":"2026-03-06T07:55:55.621Z","response_time":250,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.6:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"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":["cnn","jupyter","machine-learning","notebook","opencv","python"],"created_at":"2024-09-27T23:21:37.995Z","updated_at":"2026-03-06T10:05:53.764Z","avatar_url":"https://github.com/meghana0308.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# Emotion Detection\n\n## Table of Contents\n- [Introduction](#introduction)\n- [Features](#features)\n- [Technologies Used](#technologies-used)\n- [Installation](#installation)\n- [Usage](#usage)\n- [Configuration](#configuration)\n- [Contact](#contact)\n- [Output](#output)\n\n## Introduction\nThis project implements a real-time emotion detection system that uses a deep learning model and webcam to classify facial expressions into seven different emotions: Angry, Disgust, Fear, Happy, Neutral, Sad, and Surprise. The system captures video from a webcam, processes the images, and predicts the emotion displayed.\n\n## Features\n- Real-time emotion detection from webcam feed.\n- Facial recognition using Haar Cascade.\n- Emotion classification using a Convolutional Neural Network (CNN).\n- Display of detected emotions on the video feed.\n\n## Technologies Used\n- **Frontend:** Python (for real-time interaction and display)\n- **Backend:** TensorFlow/Keras (for deep learning model)\n- **Face Detection:** OpenCV (for real-time face detection)\n- **Deep Learning:** Convolutional Neural Network (CNN)\n\n## Installation\nFollow these steps to set up the project locally.\n\n### Prerequisites\n- Python 3.x\n- TensorFlow\n- OpenCV\n- NumPy\n\n### Steps\n1. Clone the repository:\n    ```bash\n    git clone https://github.com/yourusername/emotion-detection.git\n    cd emotion-detection\n    ```\n2. Install dependencies:\n    ```bash\n    pip install -r requirements.txt\n    ```\n3. Set up model files: Ensure that `emotiondetector.json` and `emotiondetector.h5` are placed in the root directory of the project.\n\n4. Run the application:\n    ```bash\n    python realtimedetection.py\n    ```\n\n5. Access the application: The script will open a webcam feed for real-time emotion detection.\n\n## Usage\nOnce the application is running, you can:\n- View real-time emotion detection from the webcam feed.\n- Press 'q' to exit the video feed.\n\n## Configuration\nAdditional configuration is managed through the code and does not require user modification. Ensure that the model files are correctly placed in the project directory.\n\n## Contact\nFor any questions, please contact: Meghana: meghanavjiet@gmail.com\n\n## Output\nEmotion Detection :  fear , sad , neutral , happy\n![image](https://github.com/user-attachments/assets/49d74ee9-6a6a-487b-815f-46055157a49a)\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmeghana0308%2Femotion_detection","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmeghana0308%2Femotion_detection","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmeghana0308%2Femotion_detection/lists"}