Add author projects to all README files

Author: huangsam

README.de.md

@@ -155,6 +155,15 @@ Lernen Sie weiter, indem Sie von anderen Quellen lesen.
 - [microsoft/Data-Science-For-Beginners](https://github.com/microsoft/Data-Science-For-Beginners) ( 🧪 )
 - [Avik-Jain/100-Days-Of-ML-Code](https://github.com/Avik-Jain/100-Days-Of-ML-Code) ( 🧪 )
 
+### Projekte des Autors
+
+Projekte, die ich mit Python erstellt habe und die zeigen, was man nach dem Erlernen dieser Konzepte erstellen kann:
+
+- [huangsam/chowist](https://github.com/huangsam/chowist) — Ein Yelp-Klon, der Full-Stack mit Python zeigt ( 🧪 )
+- [huangsam/githooks](https://github.com/huangsam/githooks) — Pure Python Git Hooks-Bibliothek ( 🧪 )
+- [huangsam/ragchain](https://github.com/huangsam/ragchain) — Retrieval-augmented Generation für Wikipedia ( 🧪 )
+- [huangsam/mailprune](https://github.com/huangsam/mailprune) — Automatisierte Gmail-Bereinigung mit Python und ML ( 🧪 )
+
 ### Interaktive Übungen
 
 Üben Sie weiter, damit Ihre Programmierkenntnisse nicht einrosten.

README.es.md

@@ -153,6 +153,15 @@ Sigue aprendiendo leyendo otros buenos recursos.
 - [microsoft/Data-Science-For-Beginners](https://github.com/microsoft/Data-Science-For-Beginners) ( 🧪 )
 - [Avik-Jain/100-Days-Of-ML-Code](https://github.com/Avik-Jain/100-Days-Of-ML-Code) ( 🧪 )
 
+### Proyectos del autor
+
+Proyectos que he creado con Python que muestran lo que puedes crear después de aprender estos conceptos:
+
+- [huangsam/chowist](https://github.com/huangsam/chowist) — Un clon de Yelp que muestra full-stack con Python ( 🧪 )
+- [huangsam/githooks](https://github.com/huangsam/githooks) — Biblioteca de hooks de Git en Python puro ( 🧪 )
+- [huangsam/ragchain](https://github.com/huangsam/ragchain) — Generación aumentada con recuperación para Wikipedia ( 🧪 )
+- [huangsam/mailprune](https://github.com/huangsam/mailprune) — Limpieza automatizada de Gmail usando Python y ML ( 🧪 )
+
 ### Práctica interactiva
 
 Continua practicando para que no se oxiden tus habilidades de programación.

README.fr.md

@@ -165,6 +165,15 @@ Continue d’apprendre grâce à ces ressources bien établies :
 - [microsoft/Data-Science-For-Beginners](https://github.com/microsoft/Data-Science-For-Beginners) ( 🧪 )
 - [Avik-Jain/100-Days-Of-ML-Code](https://github.com/Avik-Jain/100-Days-Of-ML-Code) ( 🧪 )
 
+### Projets de l'auteur
+
+Projets que j'ai créés avec Python qui montrent ce que vous pouvez créer après avoir appris ces concepts :
+
+- [huangsam/chowist](https://github.com/huangsam/chowist) — Un clone de Yelp montrant le full-stack avec Python ( 🧪 )
+- [huangsam/githooks](https://github.com/huangsam/githooks) — Bibliothèque de hooks Git en Python pur ( 🧪 )
+- [huangsam/ragchain](https://github.com/huangsam/ragchain) — Génération augmentée par récupération pour Wikipedia ( 🧪 )
+- [huangsam/mailprune](https://github.com/huangsam/mailprune) — Nettoyage automatisé de Gmail avec Python et ML ( 🧪 )
+
 ### Pratique interactive
 
 Continue à t’exercer pour ne pas perdre la main :

README.hi.md

@@ -138,6 +138,15 @@ print("Ultimate Python स्टडी गाइड")
 - [microsoft/Data-Science-For-Beginners](https://github.com/microsoft/Data-Science-For-Beginners) ( 🧪 )
 - [Avik-Jain/100-Days-Of-ML-Code](https://github.com/Avik-Jain/100-Days-Of-ML-Code) ( 🧪 )
 
+### लेखक की परियोजनाएँ
+
+Python से बनाई गई परियोजनाएं जो दिखाती हैं कि इन अवधारणाओं को सीखने के बाद आप क्या बना सकते हैं:
+
+- [huangsam/chowist](https://github.com/huangsam/chowist) — Python के साथ फुल-स्टैक दिखाने वाला एक Yelp क्लोन ( 🧪 )
+- [huangsam/githooks](https://github.com/huangsam/githooks) — शुद्ध Python Git हुक लाइब्रेरी ( 🧪 )
+- [huangsam/ragchain](https://github.com/huangsam/ragchain) — Wikipedia के लिए रिट्रीवल-ऑगमेंटेड जेनरेशन ( 🧪 )
+- [huangsam/mailprune](https://github.com/huangsam/mailprune) — Python और ML का उपयोग करके स्वचालित Gmail सफाई ( 🧪 )
+
 ### इंटरैक्टिव प्रैक्टिस
 
 अभ्यास करते रहें ताकि आपकी कोडिंग कौशल खराब न हों।

README.ko.md

@@ -144,6 +144,15 @@ print("Ultimate Python 학습 가이드")
 - [microsoft/Data-Science-For-Beginners](https://github.com/microsoft/Data-Science-For-Beginners) ( 🧪 )
 - [Avik-Jain/100-Days-Of-ML-Code](https://github.com/Avik-Jain/100-Days-Of-ML-Code) ( 🧪 )
 
+### 저자의 프로젝트
+
+이러한 개념을 익힌 후 무엇을 만들 수 있는지 보여주는 Python으로 제작한 프로젝트들입니다:
+
+- [huangsam/chowist](https://github.com/huangsam/chowist) — Python을 사용한 풀스택을 보여주는 Yelp 클론 ( 🧪 )
+- [huangsam/githooks](https://github.com/huangsam/githooks) — 순수 Python Git 훅 라이브러리 ( 🧪 )
+- [huangsam/ragchain](https://github.com/huangsam/ragchain) — Wikipedia를 위한 검색 증강 생성 ( 🧪 )
+- [huangsam/mailprune](https://github.com/huangsam/mailprune) — Python과 ML을 사용한 자동화된 Gmail 정리 ( 🧪 )
+
 ### 대화형 연습
 
 코딩 실력이 녹슬지 않기 위해 계속 연습하세요.

README.md

@@ -156,6 +156,15 @@ Keep learning by reading from other well-regarded resources.
 - [microsoft/Data-Science-For-Beginners](https://github.com/microsoft/Data-Science-For-Beginners) ( 🧪 )
 - [Avik-Jain/100-Days-Of-ML-Code](https://github.com/Avik-Jain/100-Days-Of-ML-Code) ( 🧪 )
 
+### Author projects
+
+Projects I've built with Python that showcase what you can create after learning these concepts:
+
+- [huangsam/chowist](https://github.com/huangsam/chowist) — A Yelp clone showing full-stack with Python ( 🧪 )
+- [huangsam/githooks](https://github.com/huangsam/githooks) — Pure Python Git hooks library ( 🧪 )
+- [huangsam/ragchain](https://github.com/huangsam/ragchain) — Retrieval-augmented generation for Wikipedia ( 🧪 )
+- [huangsam/mailprune](https://github.com/huangsam/mailprune) — Automated Gmail cleanup using Python and ML ( 🧪 )
+
 ### Interactive practice
 
 Keep practicing so that your coding skills don't get rusty.

README.pt_br.md

@@ -142,6 +142,15 @@ Continue aprendendo lendo outros recursos bem conceituados.
 - [microsoft/Data-Science-For-Beginners](https://github.com/microsoft/Data-Science-For-Beginners) ( 🧪 )
 - [Avik-Jain/100-Days-Of-ML-Code](https://github.com/Avik-Jain/100-Days-Of-ML-Code) ( 🧪 )
 
+### Projetos do autor
+
+Projetos que construí com Python que mostram o que você pode criar após aprender esses conceitos:
+
+- [huangsam/chowist](https://github.com/huangsam/chowist) — Um clone do Yelp mostrando full-stack com Python ( 🧪 )
+- [huangsam/githooks](https://github.com/huangsam/githooks) — Biblioteca de hooks Git em Python puro ( 🧪 )
+- [huangsam/ragchain](https://github.com/huangsam/ragchain) — Geração aumentada por recuperação para Wikipedia ( 🧪 )
+- [huangsam/mailprune](https://github.com/huangsam/mailprune) — Limpeza automatizada do Gmail usando Python e ML ( 🧪 )
+
 ### Prática interativa
 
 Continue praticando para que suas habilidades de codificação não enferrujem.

README.zh_tw.md

@@ -135,6 +135,15 @@ print("Ultimate Python 學習大綱")
 - [practical-tutorials/project-based-learning](https://github.com/practical-tutorials/project-based-learning#python)
 - [freeCodeCamp/freeCodeCamp](https://github.com/freeCodeCamp/freeCodeCamp) ( 👔 )
 
+### 作者的專案
+
+我用 Python 構建的專案，展示學習這些概念後可以創造的內容：
+
+- [huangsam/chowist](https://github.com/huangsam/chowist) — 使用 Python 展示全端的 Yelp 克隆專案 ( 🧪 )
+- [huangsam/githooks](https://github.com/huangsam/githooks) — 純 Python Git hooks 庫 ( 🧪 )
+- [huangsam/ragchain](https://github.com/huangsam/ragchain) — Wikipedia 的檢索增強生成 ( 🧪 )
+- [huangsam/mailprune](https://github.com/huangsam/mailprune) — 使用 Python 和 ML 的自動化 Gmail 清理 ( 🧪 )
+
 ### 互動練習
 
 繼續練習才能使您的編碼技能不會生疏。