Learn in Public #4 ✅ Just added Real-time Video Calling to my Chat Application! Now users can not only text chat but also make video calls between devices. I tested it by calling from my laptop to my mobile phone — and it works smoothly! Watch the demo: - User 1 clicks Video Call button - User 2 gets incoming call popup and accepts - Camera & Microphone permissions - Live two-way video + audio - Mute & Camera toggle (on/off with single click) - End call from either side Built with: • Backend: FastAPI (Python) • Frontend: Simple HTML, CSS & Vanilla JavaScript • Video Calling: WebRTC with custom signaling I'm more comfortable with Python, so using FastAPI felt natural for the backend. Live Demo: https://lnkd.in/g8AuFeks GitHub Repository:   https://lnkd.in/g3DRrNMW What should I build next?   Screen sharing? Group calls? Or something else? Drop your suggestions in the comments 👇 #LearnInPublic #WebRTC #FastAPI #Python #JavaScript #ChatApp #FullStack

🚀 Excited to share my latest project – a Real-Time Collaborative Code Editor! This application enables multiple users to join a shared room and collaborate on code simultaneously in real time. 💻 Key Features: • Live code synchronization across users • Cursor tracking and typing indicators • Built-in chat system for communication • Python code execution with real-time output 🛠 Tech Stack: Flask, Flask-SocketIO, JavaScript, WebSockets, Monaco Editor 📚 What I learned: • Real-time communication using WebSockets • Handling multiple users and shared sessions • Building full-stack applications from scratch • Debugging and optimizing live systems 🔗 GitHub: https://lnkd.in/g7j2Ecsc 🎥 Demo video attached below Would love to hear your feedback! #FullStackDevelopment #Python #Flask #WebSockets #RealTimeApps #SoftwareDevelopment #TechProjects

🚀 Introducing Dynamic Memory Management Visualizer! A web-based application designed to demonstrate key memory management concepts such as segmentation and virtual memory in an interactive and visual manner. The goal is to simplify how operating systems handle memory allocation and address translation. 💡 Tech Stack: HTML, CSS, JavaScript (Frontend) Python (Backend logic & processing) 💡 Key highlights: Interactive and dynamic UI for clear visualization Demonstrates segmentation and virtual memory concepts Clean and user-friendly design Bridges theoretical OS concepts with practical understanding 🎯 A step towards making complex Operating System concepts more intuitive and accessible through visualization. Team: Sreenath YV, Shaurya Raj Grateful to Arjun Saini sir for guidance and support throughout the project. Feedback and suggestions are always welcome! 🙌 #DynamicMemoryManagement #WebDevelopment #Python #OperatingSystems #MemoryManagement #JavaScript #StudentProject #LearningByDoing

🚀 𝗗𝗮𝘆 𝟮𝟰/𝟯𝟬 – 𝟯𝟬 𝗗𝗮𝘆𝘀 𝗼𝗳 𝗣𝘆𝘁𝗵𝗼𝗻 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲 Continuing my journey of building one Python project every day to improve consistency and real-world problem-solving. Today’s focus: **GUI Development & Automation** Goodbye Mannual Searching 👋 🧠 𝗣𝗿𝗼𝗷𝗲𝗰𝘁: 𝗔𝗜 𝗔𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁 (Tkinter Based) Built a simple desktop AI Assistant using Python and Tkinter that allows users to quickly search across platforms like Google, YouTube, and Instagram — all from one interface. ✨ 𝗙𝗲𝗮𝘁𝘂𝗿𝗲𝘀: • Search anything on Google instantly 🔍 • Find videos directly on YouTube ▶️ • Open Instagram profiles with ease 📸 • Clean and user-friendly interface 🎨 • Lightweight and fast ⚡ 💡 𝗖𝗼𝗻𝗰𝗲𝗽𝘁𝘀 𝗨𝘀𝗲𝗱: • Tkinter for GUI development • Webbrowser module for automation • Event handling in Python • Basic UI/UX design principles 🔗 𝗚𝗶𝘁𝗛𝘂𝗯: https://lnkd.in/dAr8MUDe A simple yet practical project that shows how Python can be used to build useful desktop tools with minimal effort. Building discipline through code — one project at a time. Follow along as I complete 30 Python projects in 30 days 🚀 #Python #BuildInPublic #DeveloperJourney #30DaysOfCode #PythonProjects #Tkinter #Automation #Coding #Learning

🚇 Just Built a Subway Payment System in Python I recently developed a command-line Subway Payment System that simulates how real-world transport systems work. 🔹 Features: 1. Card check-in and check-out 2. Trip tracking system 3. Average travel time calculation This project helped me understand how systems manage user transactions and data flow. I’m currently working on improving it and possibly turning it into a web application. Special thanks to Patrick Dwamena and Stephen Nyarko for support during this project 🙌 #Python #BackendDevelopment #Projects #SoftwareEngineering

Someone built a self-hosted video downloader in 150 lines of Python. ReClip. Paste links from YouTube, TikTok, Instagram, Twitter/X, Reddit, and 1000+ other sites. Download as MP4 or MP3. What's inside: → 1000+ supported sites via yt-dlp → MP4 video or MP3 audio extraction → Quality/resolution picker → Bulk downloads - paste multiple URLs at once → Automatic URL deduplication → Clean, responsive UI - no frameworks, no build step → Single Python file backend (~150 lines) The stack: → Backend: Python + Flask (~150 lines) → Frontend: Vanilla HTML/CSS/JS (single file, no build step) → Download engine: yt-dlp + ffmpeg → Dependencies: 2 (Flask, yt-dlp) Self-host with one command: git clone → ./reclip[.]sh → done. Or Docker: docker build → docker run → done. MIT licensed. Open-source. GitHub: https://lnkd.in/ghXzwgwq

Ever wondered how your computer actually manages its memory? 🧠💻 I’m excited to share my latest project: a Memory Management Visualizer that brings complex Operating System concepts to life. Moving from textbook theory to a functional implementation was a huge learning curve, but seeing the logic in action makes it all worth it. Key Features I built: ✅ Paging: Real-time visualization of FIFO and LRU algorithms using a Flask-powered backend. ✅ Segmentation: Implementation of First Fit and Best Fit allocation strategies with a dynamic memory map. ✅ Virtual Memory: A full simulation featuring Page Tables, TLB cache, and page fault handling. Tech Stack: - Backend: Python (Flask) 🐍 Frontend: HTML, CSS, JavaScript, Chart.js 📊 Tools: Conda, REST APIs Check out the repo here: [https://lnkd.in/gdAnxj7E] Team: Shaurya Raj, Sreenath YV Greatful to Arjun Saini for guidance and support throughout the project. #OperatingSystems #ComputerScience #FullStack #Python #Flask #WebDevelopment #CodingProject

Most content creators and teams don’t struggle with ideas they struggle with managing them. I personally faced this too ideas scattered across notes, planning in different tools, and no clear system to stay consistent. To solve this, I developed Content OS a system that brings content planning, organization, and scheduling into one place, making the workflow simple and structured. ⚙️Built with a full-stack setup using Next.js (TypeScript) + FastAPI (Python) + SQLite #developer #Innovation #Technology #python #AI

I was tired of copying long, ugly links… So I built my own URL shortener — SnapURL. Not just a backend. A real product. With UI. With logic. With actual users in mind. In the last few days, I stopped consuming tutorials…and started building. This is what came out of it is, 🔗 SnapURL using FastAPI. -------------------------------- Where you can: • Paste any link • Instantly get a short URL • Copy it • Open it • And it just works. -------------------------------- But here’s what this project actually taught me: Building is not about writing code. It’s about: • Debugging errors for hours • Fixing things that don’t make sense • Connecting frontend + backend • And still making it feel simple to the user This is just Version 1. Next → deploying it live. GITHUB LINK: https://lnkd.in/gH8JFzMc If you’re learning development… Stop watching. Start building. #buildinpublic #fastapi #python #webdevelopment #studentdeveloper

Just built a **Python-based Text Editor using Tkinter** 🐍📝 as a hands-on project to strengthen my GUI and file-handling skills. Features implemented: • Create new files, open existing ones, and save content • Basic text formatting (Bold and Red color using Tkinter text tags) • Menu-driven interface for better usability • Clean and simple layout for user interaction Key learnings from this project: ✔ How Tkinter GUI components work together (Text, Menu, File Dialogs) ✔ File operations in Python (read/write handling) ✔ Text widget tagging system for formatting selected text ✔ Event-driven programming and user interaction flow This project helped me connect core Python concepts with real application development. I’ll be improving it further by adding keyboard shortcuts, better formatting controls, and UI enhancements. Always building and improving step by step 🚀