Find your center with RAGE AI: Your AI-Powered Yoga Partner!
Explore the platform for learning yoga »
Welcome to my project! I'am developed a platform using TensorFlow and Keras for deep learning-based yoga guidance. Users select a pose, perform it while their webcam feed sends images to our CNN model for real-time feedback. Our narrator provides tips, enhancing the experience. Built with Next.js, Tailwind CSS, and TensorFlow.js, it's user-friendly and continuously evolving with an expanding selection of poses."
- Seamlessly select and perform yoga poses
- Receive real-time feedback on pose accuracy
- Benefit from helpful tips and insights from our narrator
- Utilize our intuitive interface and seamless integration for a smooth user experience
- Currently featuring seven available poses in our trained model, with plans for expansion
- Experience the future of yoga guidance with our innovative platform.
Join us as we strive to promote mindfulness, well-being, and self-improvement through the power of technology.
To begin using our yoga trainer, follow these simple steps:
Ensure that you have Yarn installed (optional). You can alternatively use npm as well.
- yarn
npm install --global yarn
Ensure you have yarn installed on your system. If not, you can also utilize npm.
Once Yarn is installed, navigate to the project directory and run the following command to install dependencies:
-
Clone the Repo
git clone https://github.com/rajyavardhanbithale/yoga-trainer
-
Change Directory
cd yoga-trainer
-
Install Dependencies
- Using yarn
yarn
- Using npm
npm install
- Using yarn
After installing the dependencies, you can start the development server by running:
-
Development Server
- Using yarn
yarn dev
- Using npm
npm run dev
- Using yarn
- Make prediction faster
- Add more yoga poses to model
- Add Responsive Layout for smaller device
- Improve UI/UX
- Multi-language Support
- Hindi
- Spanish
RAGE AI by Rajyavardhan Bithale is licensed under CC BY-NC-SA 4.0
Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.
If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!
At last, I would like to express my gratitude to Vercel for hosting and providing wonderful cloud services.