Kemal Eren Sunar (erensunar)

erensunar

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Location:Isparta/İstanbul

Twitter:@ernsunar

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Kemal Eren Sunar's repositories

Telegram-Private-Channel-Listener

Receive messages of private channels in Telegram instantly

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instagram-unfollowers

Find people who unfollow you without sharing your account with anyone.

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number-systems-converter

Girilen tüm sayı sistemleri arasında dönüşüm yapan program. Basit ve sade bir arayüz ile tüm dönüşüm işlemlerini yapabilirsiniz.

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binance-profit-loss-calculator

Calculation of all buying and selling of a symbol.

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ChatGPT-Desktop-ChatBot

OpenAI Chatbot is a Python-based chatbot that uses the OpenAI API to generate responses to user messages. With customizable parameters and natural language conversation support, it can be tailored to a variety of use cases.

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Statistics-And-Probability-Work

Lenovo marka bilgisayarların fiyat istatistikleri

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tiktok-bot

Software that opens automatic live broadcast crates

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30-Days-of-Python

Learn Python for the next 30 (or so) Days.

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Add-image-to-pdf

Software that can add stickers and logos on a pdf file.

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qr-generator-telegram-bot

This is a Telegram bot that converts user text messages to QR codes and sends them back to the user. Bu, kullanıcı metin mesajlarını QR kodlarına dönüştüren ve kullanıcıya geri gönderen bir Telegram botudur.

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Telegram-Knowledge-Challenge-Bot

The Knowledge Challenge Bot is a Telegram bot that provides users with educational quizzes on various topics. Users can start quizzes, answer questions, and earn points based on their performance. The bot also allows users to suggest questions and earn additional points when their questions are approved by the bot's administrator.

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Speech-Sentiment-Analysis

This program splits audio files into chunks and converts each chunk into text, performing sentiment analysis. The sentiment analysis determines whether the text is positive, negative, or neutral.

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twitter-v2-keyword-filtering

This project uses the Twitter API v2 and Python to collect tweets from a user's profile and filters them based on specified keywords. The filtered tweets are then exported to an Excel file for further analysis. This project aims to provide a useful tool for social media analysis.

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