Multimodal AI
Product Classification

State-of-the-art machine learning system combining computer vision and natural language processing for automated e-commerce product categorization

Try Live DemoExplore Models
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Classification Accuracy
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Product Images
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Product Categories
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ML Models Implemented

Technical Highlights

Advanced machine learning architectures and production-ready implementation

Computer Vision Models

ResNet50/101, DenseNet, ConvNeXt V2, Vision Transformer, Swin Transformer

Natural Language Processing

Sentence-BERT (MiniLM), Transformer Embeddings, OpenAI API Integration

Multimodal Fusion

Advanced ML approaches combining visual and textual features

Production Ready

Docker support, comprehensive testing, deployment documentation

Implemented ML Models & Architectures

ResNet50 / ResNet101
DenseNet121 / DenseNet169
ConvNeXt V2 (Tiny, Base, Large)
Vision Transformer (ViT)
Swin Transformer
Sentence-BERT (MiniLM)
Random Forest Classifier
Logistic Regression
Custom MLP Networks
Multimodal Fusion Models

Experience the Power of Multimodal AI

Try our interactive demo to see how computer vision and NLP work together for superior product classification accuracy

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Multimodal E-commerce AI

Advanced machine learning portfolio demonstrating multimodal AI expertise