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title: Sise Challenge Emotional Report |
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emoji: 🎤 |
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colorFrom: yellow |
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colorTo: green |
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sdk: docker |
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pinned: false |
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--- |
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# SISE Ultimate Challenge - Emotional Report |
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Welcome to **Emotional Report**! This AI-powered application lets users send or record an audio clip 📢, analyzing their emotional state based on vocal tone and speed. The AI predicts whether the emotion falls into one of three categories: **Anger (Colère) 😡, Joy (Joie) 😃, or Neutral (Neutre) 😐**. |
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Using **Wav2Vec**, a pre-trained AI model, the app not only detects emotions but also attempts to transcribe the speech into text. 🧠🎙️ |
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## 🎬 Fun Fact |
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The name **Emotional Report** is inspired by the movie *Minority Report*, where AI predicts crimes before they happen! 🔮 |
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This challenge is the **Ultimate Challenge** for Master SISE students. 🏆 |
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## 👀 Overview |
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This project features a **Streamlit-based dashboard** 📊 that helps analyze security logs, data trends, and apply machine learning models. |
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### ✨ Features |
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✅ **Home** - Overview of the challenge 🏠 |
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✅ **Analytics** - Visualize & analyze security logs and data trends 📈 |
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✅ **Machine Learning** - Train & evaluate ML models 🤖 |
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## 🚀 Installation Guide |
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### 🔧 Local Setup |
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Follow these steps to run the project locally: |
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1. **Clone the repository:** |
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```sh |
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git clone https://github.com/jdalfons/sise-ultimate-challenge.git |
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cd sise-ultimate-challenge |
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``` |
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2. **Create and activate a virtual environment:** |
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```sh |
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python3 -m venv venv |
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source venv/bin/activate # On Windows, use `venv\Scripts\activate` |
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``` |
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3. **Install dependencies:** |
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```sh |
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pip install -r requirements.txt |
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``` |
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4. **Run the Streamlit application:** |
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```sh |
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streamlit run app.py |
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``` |
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### 🐳 Docker Setup |
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1. **Build the Docker image:** |
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```sh |
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docker build -t sise-ultimate-challenge . |
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``` |
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2. **Run the container:** |
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```sh |
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docker run -p 7860:7860 sise-ultimate-challenge |
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``` |
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## ⚙️ Technical Details |
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- 🐍 **Python 3.12** |
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- 🎨 **Streamlit** |
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- 🎙️ **Wav2Vec2** |
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## 🤝 Contributors |
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- [Cyril KOCAB](https://github.com/Cyr-CK) 👨💻 |
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- [Falonne KPAMEGAN](https://github.com/marinaKpamegan) 👩💻 |
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- [Juan ALFONSO](https://github.com/jdalfons) 🎤 |
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- [Nancy RANDRIAMIARIJAONA](https://github.com/yminanc) 🔍 |
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🔥 *Join us in making AI-powered emotion detection awesome!* |
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