Build an AI-Based Image Enhancer App
Create a next-gen mobile app that leverages AI to enhance blurry, low-resolution, or poorly lit images using deep learning—an innovative computer vision app development project.Image enhancement using AI is gaining popularity across photography, social media, and even medical fields. This app development project teaches you how to use pre-trained models to fix blur, upscale images, adjust lighting, and improve sharpness automatically.
Users can upload or capture a photo and apply AI filters to enhance resolution, remove blur, denoise, or adjust lighting. They can preview changes in real time, compare before/after results, and save or share the output image.
AI-Powered Image Enhancement
Apply super-resolution, deblurring, and noise reduction using TensorFlow Lite or ONNX models.
Real-Time Preview and Comparison
Show a side-by-side or slider comparison of the original and enhanced image before saving.
Image Upload and Camera Input
Let users upload images from the gallery or capture new ones using the device camera.
Save and Share Functionality
Save enhanced images locally or share directly via WhatsApp, Instagram, or cloud services.
When a user uploads or captures a photo, the image is passed through pre-trained AI models that process and enhance it. The app displays the result, allows comparison with the original, and offers download/share options.
- User uploads or takes a photo via the app interface.
- The app applies an AI model (e.g., ESRGAN or GFPGAN) to enhance quality or resolution.
- Users can preview, zoom in, or toggle before-after views.
- They can save the final image to the device or share it online.
- Optional: Add batch processing, face enhancement, or low-light correction modes.
Frontend
Flutter or React Native with image picker, camera input, comparison slider, and share UI.
AI Models
ESRGAN, Real-ESRGAN, GFPGAN, DeblurGAN; converted into TensorFlow Lite or ONNX for mobile inference.
Image Processing
OpenCV (mobile-compatible), NumPy (backend pre-processing), Pillow for basic image I/O.
Optional Backend
Firebase Storage for user image backups or server-side inference if needed (using FastAPI or Flask).
1. Build Image Upload and Camera UI
Let users upload from gallery or take a picture directly using device camera.
2. Integrate AI Enhancement Model
Use TFLite or ONNX to run the model locally and process input images efficiently.
3. Add Preview & Before-After Toggle
Display results in a clean UI with side-by-side or slider comparison of original vs. enhanced.
4. Save & Share Results
Enable saving enhanced images with custom file names and share via social or email apps.
5. Optimize for Performance
Reduce model size, use image compression, and manage memory to ensure smooth UX on all devices.
Enhance Every Photo with AI Power
Build an advanced AI image enhancer app that transforms ordinary photos into high-quality visuals—a brilliant app development project for AI and mobile enthusiasts.
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