SHOP ART is a website and web app tailored towards supplying and purchasing classical, contemporary, and modern art to customers worldwide.
- AUTHORS
- TECHNOLOGIES
- CHALLENGE STATEMENT
- RISKS
- INFRASTRUCTURE
- EXISTING SOLUTIONS
- CONTRIBUTION
- LICENSE
This team is made up of 3 members;
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Caleb E. Oru
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Nwanochiri GloriaMary Ogochukwu
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Joseph Alfred Ukpaka
Caleb and Joseph handled the code/script writing and API implementation and web frameworks, Ogochukwu took care of the graphics and video editing while Ogochukwu and Caleb will handled the front end. The reason for this division of labor is to play to each one of our strengths and pursuing this project will also allow us to learn.
For this project, We’d use HTML, CSS & Javascript. Python scripts will be exercised for the backend with the Javascript initiated for the front end. Bootstrap Studio will also be employed for the design of the website. Web frameworks like Flask and Django might be explored too. We’re keeping our options open.
This project is intended to provide an easier way for the demand and supply of artworks by creating a website and app to curb such issues. This website isn’t intended to be for information about art in general.
Technical risks involved in this project might include the following: Higher costs in the long run Slow page speed. Limited ability to scale Low conversions Integration issues
- To mitigate those risks, we’ve opted to Start with an MVP Be agile Address technical risks early Improve SEO by targeting keywords with high commercial intent, creating linkable assets, and using site links. Communicate with my team frequently Rank potential risks and specify desired outcomes
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Branching and Merging Strategy: 'GitHub flow' will be considered, it involves creating branches for new features or bug fixes, making changes in those branches, and then merging them back into the main branch (usually called "master" or "main"). This strategy allows for easy collaboration and ensures that the main branch remains stable. Additionally, we will establish code review practices to ensure quality and be able to catch any issues before merging branches.
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Deployment Strategy: The strategy for deployment will depend on the specific requirements and preferences of the team. But some deployment strategy to be considered is the continuous integration and continuous deployment (CI/CD) pipelines. These pipelines automate the process of building, testing, and deploying applications. Tools like Jenkins, Travis CI, or GitHub Actions can be used to set up and manage these pipelines. Our main aim in selecting any strategy will be to automate the deployment process to ensure consistency and efficiency.
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Data Population: To populate the app with data, the team can consider several approaches. One option is to manually enter the data through an administrative interface or backend API. This approach is suitable for smaller datasets or when the data is static. Another option is to import data from external sources or use data seeding scripts to automatically populate the database. This approach is practical when dealing with larger datasets or when data needs to be regularly updated. The specific method of data population will depend on the requirements of the project.
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Testing Tools and Automation: To ensure the quality and reliability of the application, the team will establish a testing process suitable for each programming language/framework as time goes on. This can include unit testing, integration testing, and end-to-end testing. For example, in Python, you can use tools like pycodestyle or unit test for unit testing, and tools like Selenium or Cypress for end-to-end testing. Automation of tests can be achieved through test automation frameworks or by incorporating testing into the CI/CD pipeline mentioned earlier. As work progress, the team will define the testing strategy, including what types of tests to conduct and how to automate them.
List any similar products:
- Artsy
- Saatchi Art
- Etsy
- Artdey
For each item in the list, explain similarities and differences: ● Artsy Artsy is an online platform that connects collectors, galleries, and artists. It features a wide range of artworks from various styles and periods. It provides an intuitive search interface, curated collections, and facilitates online sales transactions.
● Saatchi Art Saatchi Art is an online art gallery that allows artists to sell their artwork directly to buyers worldwide. It provides a platform for emerging artists to showcase and sell their work, with features like artist profiles, curated collections, and secure payment processing.
● Etsy While Etsy is a broader e-commerce platform encompassing various handmade and vintage items, it also includes a significant presence of artwork and crafts. Artists and artisans can create their shops and sell their artwork to a global customer base.
If you would like to contribute to the project, please fork the repository and submit a pull request with your changes. We welcome contributions of all kinds, including bug fixes, feature requests, and documentation improvements.
This project is licensed under the MIT License - see the LICENSE file for details.