🌟 AI Fusion: Transforming Student Campus Life with Gen AI

📘 Introduction

"AI Fusion" is a cutting-edge generative AI application designed to enhance campus operations and student engagement. The project combines advanced technologies to automate attendance tracking, provide personalized assistance, and streamline communication across academic institutions.

✨ Features

1. ✅ Smart Attendance Management

   • Automates attendance tracking with AI-powered accuracy.

2. 💡 Retrieve-Augment-Generate (RAG) Model

   • Delivers context-aware, personalized responses for academic and administrative queries.

3. 🤖 AI Chatbot

   • Provides real-time assistance, improving communication efficiency.

4. 🎙️ Voice Assistant Integration

   • Enables hands-free interaction for enhanced accessibility.

5. 🌈 Ethical AI Practices

   • Promotes Fairness, Accountability, and Transparency (FAT).

🛠️ Technologies Used

• 🐍 Python 3.8 or Above
• 🌐 Streamlit for the front-end interface.
• 🔗 LangChain Framework for conversation flows.
• 🧠 Ollama API for language models.
• 🤝 DeepSeek Framework for AI implementation.
• 🎓 Teachable Machine for training machine learning models.
• 📊 MySQL (via WAMP Server) for database management.

⚙️ Installation

1. 📥 Clone the repository:

   git clone https://github.com/yourusername/ai-fusion.git

2. 📁 Navigate to the project folder:

   cd ai-fusion  

3. 🔧 Install dependencies:

   pip install -r requirements.txt  

4. 🗄️ Set up the database using MySQL.

🚀 Usage

1. ▶️ Run the Streamlit application:

   streamlit run app.py  

2. 🌐 Access the application via your browser.
3. ⚙️ Configure your AI model in the sidebar for personalized assistance.

🤝 Contributing

Contributions are welcome! Feel free to submit issues or pull requests to enhance the project.

📄 License

This project is licensed under the MIT License. See the LICENSE file for details.

🙌 Acknowledgements

• 🔗 DeepSeek
• 🔗 LangChain
• 🔗 Ollama
• 🔗 Teachable Machine