CHANAKYA-NITI is a web application designed to provide an engaging platform for exploring and learning about the teachings of Chanakya, an ancient Indian philosopher, economist, and strategist.
This project aims to bring the timeless wisdom of Chanakya to a modern audience, making his teachings accessible and engaging through a digital platform.
- Interactive Interface: Engaging UI for exploring Chanakya's teachings.
- Secure Backend: Robust infrastructure to secure source code and multimedia content.
- AI Integration: Personalized recommendations and image processing.
- User Authentication: Secure and personalized user experiences.
- Multimedia Content: Audio files, books, videos on Chanakyaβs life.
- API Access: Allows users to create their own Chanakya-Niti websites.
- Language Translation: AI model for translating content into multiple languages.
- Tutorial Bot: Guides users through the platform.
Access & AI:
- AI-powered recommendation model for personalized experiences.
- Language converter model to break language barriers.
Archival Practices: Code & New Media:
- Secure storage and retrieval of cultural knowledge.
- AI image processing for visual representation.
- Open-source governance for transparency and community participation.
- Clone the repository:
git clone https://github.com/Avdhesh-Varshney/Chanakya-Niti.git
- Navigate to the project directory:
cd Chanakya-Niti
- Install dependencies:
npm install
- Start the development server:
npm run dev
- Open your browser and go to
http://localhost:3000
. - Explore Chanakya's teachings through the interactive interface.
We welcome contributions! Hereβs how you can get started:
- Fork the repository.
- Create a new branch:
git checkout -b feature/your-feature-name
- Make your changes and commit them:
git commit -m 'Add some feature'
- Push to the branch:
git push origin feature/your-feature-name
- Open a pull request.
- More interactive elements.
- Integration of multimedia content.
- Expanded teachings database.
- Mobile application development.
- v1.0: Initial release with core features.
- v1.1: UI enhancements and additional content.
- v2.0: Mobile app and multimedia integration.
- Backend: Django (Python)
- Frontend: React.js
- Recommendation Model: TensorFlow (Python)
- Language Converter: PyTorch (Python)
- Image Processing: OpenCV (Python)
- Database: PostgreSQL
This project is licensed under the MIT License. See the LICENSE file for details.
- Maintainer: Avdhesh Varshney
- Discord Server: https://discord.gg/tSqtvHUJzE
- Participate in forums, workshops, and events.
- Share project updates and seek feedback.
- Collaborate on interdisciplinary projects.
- Organize virtual meetups and brainstorming sessions.
- Host webinars, tutorials, and demos.
- Regular updates and enhancements based on user feedback.
- Foster an engaged user community.
- Forge partnerships with educational and cultural organizations.
- Integrate into broader initiatives related to education and digital literacy.
The project promotes diversity by providing accessible resources and breaking language barriers through AI-powered translation. It ensures inclusivity for users with disabilities through features like text-to-speech and alternative text descriptions, aligning with the Processing Foundation's mission of creating inclusive digital spaces.
- Update project documentation on GitHub Wiki.
- Maintain a public repository on GitHub.
- Publish blog posts on Medium and Dev.to.
- Share updates on social media.
- Participate in conferences and webinars.
- Start Simple: Begin with small tasks such as fixing typos, improving documentation, or resolving simple bugs. This will help you familiarize yourself with the project structure and coding standards.
- Intermediate Tasks: Once comfortable, take on more complex tasks such as adding new features, improving existing functionalities, or optimizing code performance.
- Advanced Contributions: Work on integrating AI models, enhancing security features, or developing new modules. This requires a deep understanding of the project's architecture and advanced coding skills.
- Engage with the Community: Participate in discussions, attend virtual meetups, and provide feedback on others' contributions. Collaboration is key to the success of open-source projects.
- Stay Updated: Regularly check the project's issue tracker, roadmap, and discussion forums to stay informed about the latest developments and opportunities for contribution.