Validate Facebook & Instagram Ad Previews with AI
Stop broken previews from eroding client trust. This deep learning model instantly classifies ad images as valid, invalid, or unknown—ensuring only accurate data reaches your reports.
Built from scratch with a custom dataset of 150,000+ images, this isn't just error checking—it's AI-driven understanding of visual content at scale.
Try the Demo
Upload ad creatives to see real-time AI classification with confidence scores.
Don't have sample images? Download my sample dataset to test the classifier.
🎯 Ready to test?PNG, JPG, or WEBP — drop files here or click to browse. We'll return classification results with confidence scores.
Ready to Implement AI-Driven Quality Control?
This project demonstrates end-to-end AI solution development—from identifying business challenges to deploying production-ready models.
How It Works
Three simple steps to ensure only valid ad previews reach your clients
1) Classify
Deep learning model evaluates each preview image and predicts: Valid, Invalid, or Unknown.
2) Flag Issues
Invalid images are flagged in real-time so broken previews never reach client reports.
3) Build Trust
Consistency drives confidence. Cleaner reports mean fewer questions and happier clients.
Technical Architecture & Impact
🔬 Data Science Excellence
- • 150,000+ image dataset — Custom-built, not generic
- • PyTorch implementation — Strategic pivot from TensorFlow
- • Class imbalance solution — Custom scripts to balance dataset
- • Multi-source integration — Real previews + public datasets
⚡ Production Ready
- • Flask API — Lightweight, efficient inference
- • Docker containerized — Consistent deployments
- • Real-time processing — Instant classification results
- • Scalable architecture — Ready for thousands of images