Mehmet Emin Gulsen ᱨᱮᱱᱟᱜ Goru AI Photo Editor ᱢᱳᱵᱟᱭᱤᱞ ᱮᱯᱞᱤᱠᱮᱥᱚᱱ ᱫᱚ ᱢᱚᱵᱟᱭᱤᱞ ᱯᱨᱚᱛᱤᱡᱚᱜᱤᱛᱟ ᱵᱷᱟᱜ ᱨᱮ 2024 A' Design Award ᱞᱚᱦᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱨᱮᱱᱟᱜ ᱟᱹᱰᱤ ᱢᱟᱱ ᱟᱠᱟᱱ ᱡᱤᱛᱠᱟᱨ ᱠᱟᱱᱟ᱾
ᱞᱚᱦᱟᱢᱚᱵᱟᱭᱤᱞ· 2024
Goru AI Photo Editor ᱢᱳᱵᱟᱭᱤᱞ ᱮᱯᱞᱤᱠᱮᱥᱚᱱ
Mehmet Emin Gulsen ᱞᱮᱠᱟᱛᱮ
ᱜᱟᱦᱟᱠ: Ray Informatics
ᱢᱚᱵᱟᱭᱤᱞ ᱵᱷᱟᱜ ᱨᱮ A' Design Award ᱞᱚᱦᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱡᱤᱛᱠᱟᱨ
ᱡᱟᱸᱪ ᱟᱠᱟᱱ ᱮᱣᱟᱨᱰ ᱡᱤᱛᱠᱟᱨ
#159461 ᱞᱟᱜᱤᱫ ᱮᱣᱟᱨᱰ ᱦᱟᱞᱚᱛ ᱡᱟᱸᱪᱰᱤᱡᱟᱭᱤᱱ
Goru AI Photo Editor ᱢᱳᱵᱟᱭᱤᱞ ᱮᱯᱞᱤᱠᱮᱥᱚᱱ ᱵᱟᱵᱚᱛ ᱛᱮ
Goru AI ᱫᱚ ᱢᱳᱵᱟᱭᱤᱞ ᱪᱤᱛᱟᱹᱨ ᱥᱟᱯᱲᱟᱣ ᱡᱟᱜᱟ ᱨᱮ ᱢᱤᱫ ᱥᱟᱫᱷᱟᱨᱚᱱ ᱮᱴᱠᱮᱴᱚᱬᱮ ᱦᱟᱹᱴᱤᱧ ᱞᱟᱹᱜᱤᱫ ᱠᱩᱨᱩᱢᱩᱴᱩᱭᱟ: AI ᱟᱡᱛᱮ ᱪᱟᱹᱞᱩ ᱨᱮᱱᱟᱜ ᱥᱩᱵᱤᱫᱷᱟ ᱟᱨ ᱥᱤᱨᱡᱚᱱᱟᱛᱢᱚᱠ ᱞᱮᱠᱟᱛᱮ ᱵᱚᱫᱚᱞ ᱨᱮᱱᱟᱜ ᱫᱚᱨᱠᱟᱨ ᱛᱟᱞᱟᱨᱮ ᱥᱚᱢᱟᱱ ᱵᱮᱱᱟᱣ᱾ ᱱᱚᱶᱟ ᱨᱮᱱᱟᱜ ᱢᱳᱰᱩᱞᱟᱨ ᱯᱟᱭᱤᱯᱞᱟᱭᱤᱱ ᱥᱤᱥᱴᱚᱢ ᱵᱮᱵᱷᱟᱨᱤᱭᱟᱹ ᱠᱚ AI-ᱪᱟᱹᱞᱩ ᱪᱤᱛᱟᱹᱨ ᱵᱚᱫᱚᱞ ᱦᱟᱹᱛᱤᱭᱟᱹᱨ ᱠᱚᱣᱟᱜ ᱠᱨᱚᱢ ᱥᱟᱡᱟᱣ ᱟᱨ ᱠᱩᱥᱤᱭᱟᱜ ᱵᱮᱱᱟᱣ ᱞᱟᱹᱜᱤᱫ ᱪᱷᱟᱰᱟ ᱮᱢᱟᱭ, ᱡᱟᱦᱟᱸ ᱨᱮ ᱥᱤᱨᱡᱚᱱ, ᱥᱩᱫᱷᱨᱟᱹᱣ, ᱫᱚᱦᱲᱟ ᱵᱮᱱᱟᱣ, ᱟᱨ ᱚᱵᱷᱚᱛᱟᱨ ᱛᱮᱭᱟᱨ ᱥᱮᱞᱮᱫ ᱢᱮᱱᱟᱜ-ᱟ᱾ ᱤᱱᱴᱟᱨᱯᱷᱮᱥ ᱫᱚ ᱡᱚᱴᱤᱞ ᱠᱟᱹᱢᱤ ᱠᱚ ᱵᱟᱹᱲᱛᱤ ᱥᱚᱡᱷᱮ ᱵᱮᱱᱟᱣ ᱪᱮᱛᱟᱱ ᱨᱮ ᱢᱚᱱᱚᱛ ᱮᱫᱟᱭ, ᱡᱟᱦᱟᱸ ᱫᱚ ᱵᱟᱹᱲᱛᱤ ᱵᱮᱵᱷᱟᱨᱤᱭᱟᱹ ᱠᱚ ᱥᱚᱠᱛᱤ ᱮᱢ ᱨᱮᱱᱟᱜ ᱟᱥᱟ ᱢᱮᱱᱟᱜ-ᱟ᱾ Goru AI ᱨᱮᱱᱟᱜ ᱞᱟᱠᱪᱟᱨ ᱫᱚ ᱢᱤᱫ ᱩᱯᱟᱹᱭ ᱫᱚᱦᱚ ᱠᱟᱱᱟ ᱡᱟᱦᱟᱸ ᱪᱤᱛᱟᱹᱨ ᱥᱟᱯᱲᱟᱣ ᱨᱮᱱᱟᱜ ᱥᱚᱠᱛᱤ ᱥᱤᱫᱷᱟᱹ ᱵᱮᱵᱷᱟᱨᱤᱭᱟᱹ ᱠᱚᱣᱟᱜ ᱛᱤ ᱨᱮ ᱮᱢᱟᱭ᱾
ᱢᱟᱱᱟᱱ
A' Design Award ᱞᱚᱦᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱵᱟᱵᱚᱛ ᱛᱮ
Goru AI Photo Editor ᱢᱳᱵᱟᱭᱤᱞ ᱮᱯᱞᱤᱠᱮᱥᱚᱱ ᱫᱚ A' Design Award ᱞᱚᱦᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱧᱟᱢ ᱟᱠᱟᱱᱟ, ᱱᱚᱶᱟ ᱫᱚ ᱵᱷᱟᱞᱟᱭ ᱰᱤᱡᱟᱭᱤᱱ ᱠᱚ ᱞᱟᱹᱜᱤᱫ ᱮᱢ ᱟᱠᱟᱱ ᱥᱚᱢᱟᱱ ᱠᱟᱱᱟ᱾ ᱱᱚᱶᱟ ᱠᱚ ᱫᱚ ᱰᱤᱡᱟᱭᱤᱱᱟᱨ ᱠᱚ ᱨᱮᱭᱟᱜ ᱵᱷᱟᱵᱱᱟ ᱟᱨ ᱵᱷᱟᱞᱟᱭ ᱠᱟᱢᱤ ᱡᱷᱟᱞᱠᱟᱣ ᱠᱚ᱾ Goru AI Photo Editor ᱢᱳᱵᱟᱭᱤᱞ ᱮᱯᱞᱤᱠᱮᱥᱚᱱ ᱫᱚ ᱠᱚᱞᱟ, ᱣᱤᱜᱭᱟᱱ, ᱰᱤᱡᱟᱭᱤᱱ ᱟᱨ ᱴᱮᱠᱱᱚᱞᱚᱡᱤ ᱨᱮᱭᱟᱜ ᱥᱤᱢᱟ ᱵᱟᱲᱦᱟᱣ ᱟᱨ ᱫᱩᱱᱤᱭᱟ ᱵᱷᱟᱞᱟᱭ ᱞᱟᱹᱜᱤᱫ ᱜᱚᱲᱚ ᱮᱢ ᱠᱟᱱᱟ᱾
ᱰᱤᱡᱟᱭᱤᱱ ᱯᱤᱪᱷᱟ ᱨᱮ
ᱯᱨᱮᱥ ᱠᱤᱴ
ᱰᱤᱡᱟᱭᱤᱱᱟᱨ ᱧᱮᱞ ᱠᱷᱚᱱ ᱠᱨᱮᱰᱤᱴ, ᱴᱤᱢ ᱥᱫᱚᱥᱭ ᱟᱨ ᱴᱮᱠᱱᱤᱠᱮᱞ ᱵᱤᱵᱚᱨᱚᱬ ᱮᱢ ᱟᱠᱟᱱᱟ᱾
- ᱟᱞᱜᱟ ᱜᱩᱱ ᱠᱚ
- Goru AI Photo Editor effortlessly combines the power of AI with intuitive user control. Its customizable pipeline system empowers users to seamlessly build their own image editing workflows with a suite of AI-driven tools. Whether for artistic expression, professional projects, or social media, Goru AI makes complex image editing procedures accessible.
- ᱢᱟᱯ ᱟᱨ ᱯᱮᱠᱮᱡᱤᱝ
- Designed for iOS devices and all screen sizes.
- ᱴᱮᱜ ᱠᱚ
- Mobile Application, AI Photo Editor, Creative Workflow, Modular, Generative AI
- ᱛᱮᱭᱟᱨ ᱛᱮᱠᱱᱚᱞᱚᱡᱤ
- Visual design was completed using Figma and Adobe Illustrator. The mobile application was developed with Swift in accordance with established requirements. The AI component is a hybrid solution, with cloud-based modules for complex tasks and offline capabilities for optimal mobile performance.
- ᱰᱤᱡᱟᱭᱱ ᱪᱮᱞᱮᱧ
- A significant design challenge inherent to the Goru AI Photo Editor project involved reconciling the capabilities of generative AI with the need for granular user control. Integrating complex AI models while ensuring a streamlined and intuitive mobile experience necessitated innovative interface solutions. Moreover, the rapidly evolving nature of generative AI technologies demanded continuous research to assess their impact on the creative workflow, guiding the project's evolution to stay aligned with emerging user needs and expectations.
- ᱜᱚᱵᱮᱥᱚᱱᱟ
- This project leverages market analysis, including industry reports from leading sources (e.g., Gartner, Forrester) to identify key opportunities and challenges within the Photo/Video and sub AI categories. Data-driven insights form the foundation for the project's design, ensuring a solution aligned with evolving user needs and technological trends. Unlike existing solutions, this project merges the power of AI with the flexibility of customizable pipelines, redefining the mobile image editing experience. Drawing upon insights from recent sector reports, this approach addresses a critical market gap, empowering users to achieve creative control within a streamlined, accessible interface.
- ᱯᱨᱮᱨᱚᱱᱟ
- This project was born from analysis of the limitations prevalent in many single-purpose AI photo editors. While these tools demonstrate the power of AI for specific image transformations, they often constrain users to a linear workflow, preventing the iterative and creative exploration of multiple AI techniques.This project addresses the desire for both simplified AI-driven image editing and the boundless creative control required for iterative workflows.
- ᱯᱨᱚᱡᱮᱠᱴ ᱥᱚᱢᱚᱭ
- The initial version of the project started in August 2023, Ankara and finished in February, 2024. Since, the development and improvement process is mostly relied on both users' activity and technical developments, the product undergoes continuous development and improvement.
- ᱠᱟᱹᱢᱤ ᱦᱚᱨ
- The homepage balances accessibility with functionality, providing a well-organized entry point to the application's capabilities. Processes are streamlined, accepting multiple input types. Users benefit from rapid results and a flexible workflow, allowing for optional enhancement, immediate saving, or continued editing for more complex creative tasks.
- ᱴᱤᱢ ᱥᱮᱫᱟᱭ ᱠᱚ
- Mehmet Emin Gulsen
Ahmet Serdar Karadeniz
Mehmet Fatih Karadeniz - ᱪᱤᱛᱟᱹᱨ ᱥᱟᱹᱦᱟ
- Note: Because of the user interface design of the project Goru AI Photo Editor, models have cover visuals. Almost every cover visual has been created with AI. But, stock photographs also used for both graphical design of submission and in the content of the project. The credits for stock photographs are declared as below,
Image #1-2-3: Photographer Ben Scott, 2018.
Image #2: Photographer Jack Delulio, 2021.
Image #2: Photographer Kenneth Vellinga, 2019.
ᱥᱯᱚᱱᱥᱚᱨᱰ
Designers.org ᱠᱷᱚᱱ ᱯᱟᱨᱚᱢ ᱛᱟᱞᱟᱥ
ᱟᱞᱮᱭᱟᱜ ᱵᱤᱜᱽᱭᱟᱯᱚᱱ ᱥᱟᱹᱜᱟᱹᱭ ᱠᱚ ᱠᱷᱚᱱ ᱯᱨᱚᱰᱟᱠᱴ, ᱥᱮᱵᱟ ᱟᱨ ᱢᱚᱠᱟ ᱩᱫᱩᱜ ᱢᱮ᱾
ᱟᱨᱦᱚᱸ ᱠᱷᱚᱡ ᱢᱮ
ᱥᱟᱹᱜᱟᱹᱭ ᱰᱤᱡᱟᱭᱤᱱ ᱠᱚ
ᱢᱤᱫ ᱞᱮᱠᱟ ᱠᱮᱴᱮᱜᱚᱨᱤ ᱠᱷᱚᱱ ᱟᱨᱦᱚᱸ ᱯᱩᱨᱥᱠᱟᱨ ᱧᱟᱢᱟᱠᱟᱱ ᱰᱤᱡᱟᱭᱤᱱ ᱠᱚ ᱧᱮᱞ ᱢᱮ, ᱡᱚᱜᱭᱟᱛᱟ ᱧᱮᱞ ᱛᱮ ᱵᱟᱪᱷᱟᱣ ᱟᱠᱟᱱᱟ᱾
