🎶 Carnatic Calm

Carnatic Calm is an IoT-integrated mental wellness solution that combines AI, wearables, and traditional Carnatic music to help users manage stress, sleep issues, and mental fatigue. Built using Python, Flask, and Azure Cloud, it bridges the gap between modern technology and ancient healing art forms.

🌟 Features

🧠 Real-Time Stress & Sleep Tracking – Monitors heart rate and sleep data from smartwatches (Fitbit, Apple Health, or custom IoT devices).

🎵 Personalized Carnatic Music Therapy – Recommends Carnatic ragas based on AI-analyzed stress levels.

⚙️ AI/ML Analysis – Uses machine learning (Random Forest via scikit-learn) for stress detection and mental health assessment.

☁️ Cloud Integration – Stores and processes user data securely with Microsoft Azure.

💻 Dynamic Flask UI – Responsive and user-friendly interface designed for all age groups.

⚡ Optimized Codebase – Efficient performance with minimal lag even during real-time data analysis.

🧩 Tech Stack Layer Tools & Technologies Frontend/UI Flask (HTML, CSS, JS) Backend Python Machine Learning scikit-learn (Random Forest) Data Processing NumPy Cloud Microsoft Azure Music Integration Spotify API (Raga Recommendations) IoT Devices Smartwatch APIs (Fitbit / Apple Health / Custom IoT) ⚙️ Installation

Clone the repository:

git clone https://github.com/your-username/CarnaticCalm.git cd CarnaticCalm

Install dependencies:

pip install -r requirements.txt

Run the application:

python CC.py

🚀 Usage

Connect your smartwatch or IoT wearable to sync heart rate and sleep data.

Launch the Flask web interface to view your current stress and sleep insights.

Get AI-powered recommendations of Carnatic ragas for relaxation or better sleep.

Click on the Play button to listen via Spotify API integration.

🤝 Contributing

We welcome contributions from developers, musicians, and researchers!

Fork this repository.

Create a new branch (feature/your-feature-name).

Commit your changes.

Submit a pull request.

🪷 Team Hackonautz

Mentors:

Mrs. L. Gomathy

Ms. P. Jinsha

Developed by: Team Hackonautz