https://chcha.in/tags/python/Recent content in Python on Dev PortfolioHugoen-usWed, 10 Dec 2025 00:00:00 +0000https://chcha.in/projects/autotube/Wed, 10 Dec 2025 00:00:00 +0000https://chcha.in/projects/autotube/Overview AutoTube is an end-to-end automated YouTube Shorts factory. It combines AI agents (Ollama/LLaMA), n8n workflows, and Python automation to generate scripts, create visuals, synthesize voiceovers, and upload finished videos directly to YouTube. Key Features 🎬 End-to-End Automation: From topic to published video, fully automated 🧠 AI Scripting: Uses Ollama/LLaMA for engaging script writing 🎨 AI Visuals: Generates dynamic image slideshows using Pollinations.ai/Z-Image 🎞️ Professional Editing: Automated Ken Burns effects, transitions, and overlays 🔄 Visual Workflow: Orchestrated via n8n with error handling and monitoring 🐳 Dockerized: Fully containerized microservices architecture Project Architecture Orchestration: n8n manages the workflow state and triggers AI Layer: Ollama (Script), OpenTTS (Voice), Pollinations.https://chcha.in/projects/devops-python-app/Tue, 19 Aug 2025 00:00:00 +0000https://chcha.in/projects/devops-python-app/Overview DevOps Python App serves as a practical demonstration of modern DevOps practices applied to a Python project. It features automated builds, testing, and Docker containerization. Key Features 🐳 Docker Integration: Optimized Dockerfile for Python applications 🤖 GitHub Actions: Automated CI/CD workflows 📦 Registry Management: Automated pushing to Docker Hub 🧪 Testing: Integration of unit tests in the build pipeline Getting Started git clone https://github.com/Hritikraj8804/devops-python-app.git cd devops-python-app # Build Docker Image docker build -t devops-python-app .https://chcha.in/projects/terminal-troubleshooter/Tue, 20 May 2025 00:00:00 +0000https://chcha.in/projects/terminal-troubleshooter/Overview Terminal Troubleshooter is a Python-based CLI utility designed to be a developer’s best friend when things go wrong. It parses error logs and system states to provide actionable fixes for common terminal issues. Key Features 🕵️ Error Diagnosis: Scans for common configuration errors 🛠️ Automated Fixes: Scripts to auto-correct path disputes and permission errors 💻 Cross-Platform: Compatible with Linux and Windows environments 📜 Log Analysis: Parses verbose error outputs to find the root cause Tech Stack Technology Purpose Python Core Logic Argparse CLI Argument Parsing Subprocess System Commands Regex Log Parsing Getting Started git clone https://github.https://chcha.in/projects/sentiment-analysis/Thu, 13 Feb 2025 00:00:00 +0000https://chcha.in/projects/sentiment-analysis/Overview Sentiment-Analysis is a sophisticated hybrid application that bridges Node.js and Python. It uses Node.js/Express for a robust backend API and delegates complex NLP tasks to a Python engine using TextBlob and NLTK. Key Features 🧠 Hybrid Architecture: Seamless integration of Node.js runtime and Python analysis engine 📊 Visual Insights: Generates word clouds and visual data representations ⚡ Real-time Analysis: Instant sentiment classification (Positive, Neutral, Negative) 📁 File Upload: Support for analyzing bulk text data via CSV uploads 🎨 Modern UI: Clean interface built with Vanilla JS and CSS3 variables Tech Stack Technology Purpose Node.https://chcha.in/projects/ml-sandbox/Fri, 27 Dec 2024 00:00:00 +0000https://chcha.in/projects/ml-sandbox/Overview ML-Sandbox allows users to run machine learning experiments directly from the browser. Unique in its architecture, it connects a web frontend to a Jupyter Notebook backend to execute Python code dynamically. Key Features 📂 Drag & Drop Upload: CSV dataset support 🧠 Interactive Algorithms: Classification, Find-S, Candidate Key ⚡ Jupyter Integration: Executes logic via notebooks 📊 Auto-Visualization: Renders results instantly on the web UI Tech Stack Technology Purpose Jupyter ML Execution Environment Flask Backend Server Python Logic Core Pandas/Scikit Data libraries Getting Started git clone https://github.