A production-style end-to-end video understanding system that enables semantic search over video content using OpenAI’s CLIP model, Pinecone vector search, and AWS-native infrastructure.
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Updated
Jan 5, 2026 - Python
A production-style end-to-end video understanding system that enables semantic search over video content using OpenAI’s CLIP model, Pinecone vector search, and AWS-native infrastructure.
LangGraph agent for the GAIA benchmark — multi-LLM rotation, tool routing, Chroma-based retrieval.
This project presents a novel approach that integrates latent representations with recurrent architectures for depth modeling. It is designed for efficient learning and inference in complex environments.
REST API that gives robots step-by-step instructions on how to hug humans safely
Simplifies texts from open public libraries like Gutenberg
Learn how to build a simple AI chatbot using Hugging Face transformers library
A progressive 6-week journey building generative AI applications. This repository tracks the evolution from basic LLM API calls and structured JSON prompting, through local vector databases for RAG, all the way to a fully deployed hybrid AI agent capable of web search, document retrieval, and computer vision.
AI-based product condition detection using BLIP-2 + FastAPI + Phi-4 (Ollama)
This project is a POC on Spacy and Hugging Face. I have discovered the NLP recently and I wanted to understand how it works and what we can do with it. So I read the documentation from start to end and made some experience with the library. The project is made with Python.
Multi-zone disaster relief AI env for Meta PyTorch OpenEnv Hackathon. 4-stage pipeline: PyTorch ZoneScorerNet -> Triage -> Planner -> Action Agent. False SOS detection, cascading failures, airlift precision.
AI Teacher Chatbot – A multilingual educational assistant built with Streamlit, LangChain, and Hugging Face Llama-3.1. The chatbot understands and responds in the same language as the user, providing clear explanations, definitions, and examples.
Automate metadata extraction for Parquet & ORC datasets (schema, outliers, contextual, skewness, semanto) with this toolkit. Compatible with Google Gemma and Meta Llama frameworks.
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