KAAVISH Progressive and AI Based Web Application For Amateur Artists
Our project KAAVISH is an effort to extend accessibility to aspiring domestic artists from Pakistan in both local and international market. The project aims to not just broden the horizon of new artists but at the same time, allow them the opportunity to complete with the new flurishing tr
| Project Title |
KAAVISH Progressive and AI Based Web Application For Amateur Artists
| Project Area of Specialization |
Computer Science | | Project Summary |
Our project KAAVISH is an effort to extend accessibility to aspiring domestic artists from Pakistan in both local and international market. The project aims to not just broden the horizon of new artists but at the same time, allow them the opportunity to complete with the new flurishing trends of the contemporary art industry. For this very purpose we have inculcated room for new digital computer generated art and the traditional hand made art on our platform. | | Project Objectives |
AIMS AND OBJECTIVES - Make a user friendly and art valuing web application
- Use technology for a social cause.
- Monetization of local and domestic art market.
- Paid promotions will be featured for specific time period.
- Offering short courses for professional growth of artists. • A bidding platform where people can bid on rare and antique art.
- Use of Artificial Intelligence to introduced an artistic feature of merging two images to create a unique abstract art.
- Use of Artificial Intelligence to introduced artistic feature based on Neural Style Transfer technique to create an art by transferring texture from textured painting to an image.
| | Project Implementation Method |
Following are the implementation methods for making KAAVISH website: - Web Developement:
- Web developement using HTML,CSS, Jquery, PHP and BOOTSTRAP with LARAVEL framework.
- Database: MySQL
- Artificial Intelligence based algorithms:
- Generative Adversarial Network (GAN)
- Neural Style Transfer Technique (NST)
- In order to enhance the scope for the Android users, we will use Progressiv Web Application (PWA) to render it as Android app like assessibility.
- Softwares used:
- Visual Studio Code
- Google Colab, Jupyter
- Web Hosting:
| | Benefits of the Project |
The project is highly significant in the following respects; - Through this project we can develop the skills of young artists and most of all provide them a professional working environment.
- Most importantly, it would provide a fresh and bright opportunity for young local talent to contribute to the development and global image of Pakistan and thereby channelize the culture of Pakistan through their skills.
- E-commerce is the thriving industry of today and tomorrow, using it through technology and the web would not only benefit the local market but would also prove to be a paradigm shift for Pakistani local art and products. Our platform also aims to utilize these resources to couple art with tech and broaden the sphere of opportunities for our country.
- Lastly, we are not creating a solely art buying or selling platform but also a sphere of learning for artists by creating a growth driven collaborative platform.
| | Technical Details of Final Deliverable |
Technical Details An E-commerce art website (a merged platform for both old hand made art and new computer made art), with machine learning algorithms. Following are the distinct features of our website: - A bidding platform.
- Featured ads.
- Short Courses for art learners.
- Customized machine learning techniques based art.
- Progressive Web Application to enhance the scope for Android users.
| | Final Deliverable of the Project |
Software System | | Core Industry |
IT | | Other Industries |
Others | | Core Technology |
Others | | Other Technologies |
Artificial Intelligence(AI) | | Sustainable Development Goals |
Decent Work and Economic Growth, Industry, Innovation and Infrastructure | Required Resources
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
| Blue host choice plus | Miscellaneous | 10 | 1000 | 10000 |
| | | Total in (Rs) | 10000 |