Semantic search for photo libraries
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Updated
Jan 1, 2026 - Python
Semantic search for photo libraries
Semantic image clustering using CLIP and GPT-powered metadata in a Next.js + MongoDB stack
Semantic image search engine based on CLIP model
Code for the final project of the CS 7643 - Deep Learning course: "Multimodal Representation Learning for Semantic Image Retrieval"
Semantic image search with PyTorch and OpenAI CLIP. Utilizes FastAPI for backend and Nextjs for frontend.
Semantic Image Recommendation System using Maximal Marginal Relevance
This project is a visual Retrieval-Augmented Generation (RAG) system that uses Cohere's Embed-4 model to semantically retrieve relevant images and PDF pages. It then leverages Google's Gemini 2.5 Flash model to provide context-aware answers based on the retrieved visual content.
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