Radiant AI: Building an AI-Powered Image Editor with Python

Hi Developers, This side Arshvir :) Today, I deployed an Advanced AI Image Editor and Processing Tool on Hugging Face spaces. You can Explore the app by clicking on the here: Radinat AI So, you might curious what is actually Radiant AI? Well Radiant AI is an Advance Image Editor and Processing Tool powered by AI and several Deep Learning Models. The main idea behind Radiant AI is to combine traditional image editing with modern AI-based computer vision in one application. what can it do? It includes various key features such as: Technologies I Used
I used a variety of technologies to build Radiant AI: I'm currently exploring more optimized deep learning model to make Radiant AI best of the best. Furthermore, I'm also working to make it as desktop application and turn this application into Micro SaaS App. Radiant AI is still an early project, but it’s been a great learning experience.
If you have any feedback, ideas, or feature suggestions, I’d love to hear them. Below are my GitHub and LinkedIn Profiles: Templates let you quickly answer FAQs or store snippets for re-use. Are you sure you want to hide this comment? It will become hidden in your post, but will still be visible via the comment's permalink. Hide child comments as well For further actions, you may consider blocking this person and/or reporting abuse - Restoring your old or degraded photos
- Colorize the black & white or old photos
- Upscaling images so, there will be no compromise with quality
- Enhance image quality
- Turn your photos into sketch, cartoon style and you can even use various filters.
- Apply Creative Filters such as Sepia, CyberPunk, HDR and etc.
Alongside, it also provides basic editing and utility tools, including:
- Brightness, contrast, saturation, sharpness
- Flip or rotate your image
- Background removal
- Privacy blur, object/person blur
- Format converter, resize image and batch processing. - Backend: Python, Flask
- Frontend: HTML, CSS, JavaScript
- Deep Learning Models: YOLOv8, EDSR (Super Resolution), and others
- Libraries: OpenCV, rembg, YOLO
- Deployment: Hugging Face Spaces
- Planned: Offline desktop application