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🗝️ Key project:

📰 AntiSMI Project
It is a personal, analytical, non-profit project at the intersection of ML and journalism. The project uses ML models and methods to analyze changes in news flow in real-time or retrospectively, aiming to create a fundamentally different way of consuming news amidst the evolving landscape of news media and modern conditions.
Technologies used
Scikit-learn Pandas Numpy PostgreSQL SQLalchemy SQL Fastapi Pydantic Streamlit Docker aiogram Superset aiohttp Scrapy BeautifulSoup Requests html CSS
Links & Stack
App Repo link Covered tasks
Power news Frontend App Data Scraping - Data Validation - Data Storage - EDA - ML Model Development - Classification - Clustering - Summarization - Vector Databases - Similarity Search - API - Web App - Bots - CI/CD - Access control - Analytical Dashboards - Data Visualization
Backend Backend API
Nowadays Telegram Bot for current news
Timemachine Telegram Bot for past news
Observer
Collector Parsers & Datasets

M.'s Projects

antismi-bot icon antismi-bot

Smart personal independent news aggregator in telegram

bank-clients-fastapi icon bank-clients-fastapi

MVP for Banks Cliens Project: analises, vizualizing, engeneering and ML in one App (FastAPI as back, Streamlit as front)

banks-clients icon banks-clients

Сreating a streamlit application for EDA and predicting the behavior of bank customers

basic_stat icon basic_stat

Конспект лекций по курсу "Основы статистики"

gazeta icon gazeta

Gazeta: Dataset for automatic summarization of Russian news / Газета: набор данных для автоматического реферирования на русском языке

study icon study

Code snippets, decision notebooks, and learning gain achievements

summarus icon summarus

Models for automatic abstractive summarization

timemachine icon timemachine

NLP project based on newsru.com dataset with telegram-bot interface

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