The existing traditional e-commerce systems struggle to focus the user query to give a relevant product recommendation at the end of the retrieval stage where they mostly rely on unimodal approaches. This project explores this gap through developing an efficient multimodal retrieval system utilizing the ColPali architecture where the product images and captions are mapped effectively into a unified space to ultimately produce accurate and context-aware product recommendations.
Security and cryptocurrency wallet use are still at the center of the issues with blockchain adoption. Seed phrase-based physical wallets…
The existing traditional e-commerce systems struggle to focus the user query to give a relevant product recommendation at the end…
“The wristGuard application employs a hybrid approach, combining deep learning models for feature extraction and stacking ensemble method for classification…
“The COVID-19 epidemic changed IT industry processes by hastening the introduction of remote work. In virtual workplaces, detecting employee engagement…
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