Project Overview
Intelligent recommendation engine based on Computer Vision. The system analyzes visual patterns (textures, shapes) to cluster objects without human supervision. It utilizes the VGG16 architecture for feature extraction and UMAP algorithms for dimensionality reduction, enabling high-precision 'Search by Image' functionality for large datasets.
VGG16 + UMAP
Algorithm
23k+ Assets
Dataset
Unsupervised
Method
Tech Stack
PythonTensorFlowComputer VisionUnsupervised LearningR&D
Deliverables
- ▹ UI/UX Design System
- ▹ Frontend Architecture
- ▹ Cloud Infrastructure
- ▹ Security Audit
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