Using LangExtract and Gemma 3 for structured information extraction from unstructured text in insurance polices
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Updated
Aug 29, 2025 - Python
Using LangExtract and Gemma 3 for structured information extraction from unstructured text in insurance polices
An AI-powered system for organizing files and folders, featuring automatic image classification.
Uma assistente de terminal que ajuda a programar em python e com problemas no terminal do linux
AI-powered subtitle analysis that intelligently segments video transcripts into topics, extracts key insights, and visualizes content structure—all using local language models.
RAG-based-on-PDF is a RAG system that lets users ask questions from one web page of VS code documentation which is scraped (given below) using FAISS, HuggingFace embeddings, and a OpenRouter Api via a FastAPI backend and Streamlit as Frontend.
Learning project with A2A, CrewaAI and Huggingface
Gemma3 4B LLM Fine Tuned on 100K Doctor-Patient QA Dataset
A pipeline for creating Knowledge Graphs from CSV files tagged with IEC 61850 standard, featuring automated evaluation and performance monitoring. This pipeline follows the Omega-X ontology pattern for energy data modeling and semantic interoperability.
🌐 Extract languages from text seamlessly using LangExtract. Simplify language detection and enhance your projects with ease and accuracy.
📄 Retrieve answers from web-scraped documents using RAG with FAISS and OpenRouter, all through an interactive Streamlit interface.
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