GraniteFit AI 🏋️‍♂️🤖

Live Demo 🌐

Overview 🚀

GraniteFit AI is an open-source AI-driven employee health and well-being platform designed for modern tech companies. It helps employees maintain physical health, mental well-being, and work-life balance using AI-powered recommendations and reminders.

---

🌟 Key Features

1️⃣ Sitting Too Long? Get Reminders! 🪑⏰

• AI-driven reminders to stand up, stretch, and drink water.
• Personalized exercise suggestions to prevent sedentary fatigue.

2️⃣ Protect Your Eyes! 👀💡

• Screen brightness reminders to reduce eye strain.
• Screen time calculator for better screen-time management.

3️⃣ Work-Life Balance for Remote Workers ⚖️🏡

• AI-powered task assignment and prioritization.
• Smart assistant helps organize daily tasks efficiently.

4️⃣ Mental Health & Focus Optimization 🧠💭

• AI detects distractions from social media and FOMO.
• Recommender bot suggests activities to reduce stress and improve focus.

---

🔧 Technologies Used

• AI & Machine Learning: IBM Granite AI, TensorFlow, OpenAI GPT
• Frontend: Streamlit, React (optional future UI improvements)
• Backend: FastAPI, Flask
• Database: MongoDB, PostgreSQL
• Cloud & Deployment: IBM Cloud, AWS, Docker

---

🚀 Getting Started

1️⃣ Clone the Repository

git clone https://github.com/codewithEshaYoutube/GraniteFit-AI.git
cd GraniteFit-AI

2️⃣ Install Dependencies

pip install -r requirements.txt

3️⃣ Run the Application

streamlit run app.py

🎯 Contributing

GraniteFit AI is an open-source project! Feel free to contribute by reporting issues, suggesting features, or submitting PRs.

📩 Connect with us on GitHub: @codewithEshaYoutube

---

📜 License

This project is licensed under the MIT License. Use it freely and help make workplace wellness smarter!

📁 Repository Structure

├── .devcontainer/           # Development container configuration
├── .github/                 # GitHub workflows and community files
├── Assets/                  # Images and static assets (e.g., employee.png)
├── data/                    # Dataset files or input resources
├── health.py                # Backend logic for health-specific AI advice
├── streamlit_app.py         # Main Streamlit app entry point
├── requirements.txt         # Python dependencies
├── LICENSE                  # Open-source license
├── .gitignore               # Ignored files and directories
└── README.md                # Project overview and usage instructions