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📸 Real-Time Emotion Detection App\n\nDetect human emotions in real-time using deep learning and your webcam, built with **TensorFlow**, **OpenCV**, and **Streamlit**.\n\n\n## 🚀 Features\n\n- 🔍 Real-time emotion recognition from webcam feed  \n- 🧠 Trained on **FER-2013** dataset with high accuracy  \n- 💻 Simple and interactive **Streamlit UI**  \n- 💬 Detects emotions like: **Happy**, **Sad**, **Angry**, **Fear**, **Surprise**, **Neutral**.  \n- 💡 Easy to run locally or deploy on the web  \n\n\n## 🎭 Emotions Detected\n| Label    | Emoji | Description        |\n| -------- | :---: | ------------------ |\n| Angry    |   😠  | Displeasure, upset |\n| Happy    |   😄  | Smiling, cheerful  |\n| Sad      |   😢  | Crying, downcast   |\n| Fear     |   😨  | Shock, scared      |\n| Surprise |   😲  | Amazed, startled   |\n| Neutral  |   😐  | No emotion         |\n\n## 📷 Screen Shots\n![Emotion Detection Screenshot](screenshots/happy.png)\n![Emotion Detection Screenshot](screenshots/angry.png)\n\n## 🧠 Tech Stack\nPython 3.10, \nTensorFlow / Keras,\nOpenCV,\nStreamlit,\nFER-2013 Dataset\n\n\n## 🙋‍♂️ Author\n\nConnect on [Instagram](https://instagram.com/theidealcoder)  \nFollow on [GitHub](https://github.com/parth-udawant)\n\u003cp align=\"center\"\u003eMade with ❤️ by \u003ca href=\"https://www.instagram.com/theidealcoder\"\u003e@theidealcoder\u003c/a\u003e\u003c/p\u003e\n\n## 📦 Installation\n\n```bash\n# 1. Clone the repo\ngit clone https://github.com/parth-udawant/emotion-detection.git\ncd emotion-detection\n\n# 2. Create and activate virtual environment (optional but recommended)\npython -m venv venv\n# Activate venv:\n# On Windows:\nvenv\\Scripts\\activate\n# On Mac/Linux:\nsource venv/bin/activate\n\n# 3. Install dependencies\npip install -r requirements.txt\n\n# 4. Run the app\nstreamlit run app.py\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fparth-udawant%2Femotion-detection","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fparth-udawant%2Femotion-detection","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fparth-udawant%2Femotion-detection/lists"}