npl

This data sience proyect use NPL to recognize if a text review is positive or negative. And was trained with more than 3 million data.

Repository with natural language processing implementations in Jupyter Notebooks

Company Classifier that takes a dataset and a list of labels and adds one or more labels to each company

Real-time Arabic spell checker web app using Flask, pyspellchecker, and camel-tools. Highlights misspelled words and suggests corrections.

NLP-based medical question answering chatbot using FLAN-T5 and T5 transformer models with Hugging Face, PyTorch, and Gradio.

张爱玲.skill — 张爱玲式生活与情感洞察。基于她对人性与关系的观察，回应当代人的情感困局。

Mobile app and backend that uses NLP and word embeddings to connect similar users and setup informal meetings

AI YouTube Video Summarizer which returns Video stats and Bullet point Summary as Output

An advanced fine-tuned AI model designed for intelligent conversations, mathematical reasoning, fact-checking, and knowledge retrieval. NimbusAI integrates LLM fine-tuning, deep learning, and NLP to provide accurate responses, improve user interaction, and enhance automation.

Social Pulse: Suite de análisis biométrico-social multimodal. Integra reconocimiento de voz (Whisper), visión artificial (TensorFlow) y modelos generativos para decodificar patrones de comunicación humana en WhatsApp.

Full-stack RAG system for Nepali legal intelligence. Combines semantic retrieval, local LLM inference, and a multi-workspace chat interface — all running offline in a single Docker Compose setup. No external APIs, no hallucinated citations.

FSPM Project Agent

mime-types for NPL

Quer saber mais sobre os dados e comportamentos do seu grupo de WhatsApp?

Open Machine Learning Advanced course by MIPT.

Extended MapBlock For VirtualCampus

Código y ejercicios para introducirse en las técnicas básicas del procesamiento de lenguaje natural

Portfolio project analyzing Non‑Performing Loans in Finland (2014–2018) using BigQuery and Looker Studio.

prompt engineering commands For Every Dav

This project fine-tunes the pre-trained NLP model FinBERT for sentiment analysis on financial text — such as market news, earnings reports, and other financial documents — to support credit-risk assessment and investment decisions.