RunAsh AI is a live streaming platform that enables users to broadcast high-quality video content to a global audience. Our platform is designed to provide a seamless and engaging experience for both streamers and viewers.
- Real-time video streaming: Our platform uses advanced technology to ensure low-latency and high-quality video streaming.
- User-friendly interface: Our interface is designed to be intuitive and easy to use, making it simple for streamers to set up and manage their channels.
- Multi-platform support: Our platform supports streaming on multiple devices, including desktop, mobile, and tablet.
- Chat and community features: Our platform includes real-time chat and community features, allowing viewers to interact with each other and with the streamer.
- Monetization options: Our platform provides streamers with various monetization options, including subscriptions, donations, and advertising.
- Node.js: Our platform is built using Node.js, a JavaScript runtime environment.
- MongoDB: Our platform uses MongoDB, a NoSQL database, to store and manage data.
- Prisma: Our platform uses Prisma, a cloud-native database, to provide real-time data synchronization and scalability.
- Drizzle: Our platform uses Drizzle, a decentralized database, to provide high security and data integrity.
To install the RunAsh AI live streaming platform, follow these steps:
- Clone the repository using Git:
git clone https://github.com/runashai/runashai.git - Install the dependencies using npm:
npm install - Start the server using npm:
npm start
This is a RunAsh.In project bootstrapped with create-runash.in-app.
First, run the development server:
npm run dev
# or
yarn dev
# or
pnpm dev
# or
bun devOpen http://localhost:3000 with your browser to see the result.
You can start editing the page by modifying app/page.tsx. The page auto-updates a
This project uses next/font to automatically optimize and load Geist, a new font family for Vercel.
To learn more about RunAsh.In, take a look at the following resources:
- RunAsh.In Documentation - learn about RunAsh.In features and API.
- Learn RunAsh.In - an interactive RunAsh.In tutorial.
You can check out the RunAsh.In GitHub repository - your feedback and contributions are welcome!
The easiest way to deploy your Next.js app is to use the Vercel Platform from the creators of Next.js.
Check out our Next.js deployment documentation for more details.
We welcome contributions to the RunAsh AI live streaming platform. To contribute, follow these steps:
- Fork the repository using Git:
git fork https://github.com/runash.in/runash.in.git - Make your changes and commit them using Git:
git commit -m "Your changes" - Push your changes to your fork:
git push origin your-branch - Create a pull request to merge your changes into the main repository.
The RunAsh AI live streaming platform is licensed under the MIT License.
We would like to thank the following individuals and organizations for their contributions to the RunAsh AI live streaming platform:
- [Ram Murmu]
- [Runash Digital Innovation Technologies Private Limited]
For more information about the RunAsh AI live streaming platform, please contact us at [your email address].
Our roadmap for the RunAsh AI live streaming platform includes the following features and improvements:
- Improved video quality: We plan to improve the video quality of our platform by using advanced encoding and streaming technologies.
- Enhanced chat and community features: We plan to enhance our chat and community features by adding new functionality and improving the user interface.
- Increased monetization options: We plan to increase the monetization options available to streamers by adding new features and improving the existing ones.
Here is a changelog of the RunAsh AI live streaming platform:
- v1.0.0: Initial release of the platform.
- v1.1.0: Added support for real-time chat and community features.
- v1.2.0: Improved video quality and added support for multi-platform streaming.
Note: