Turning ideas into visuals with code! I recently worked on building a simple Drawing Board using Python,OpenCV,NumPy where users can draw, erase, and create shapes interactively. What I implemented: • Drawing tools (Pen & Eraser) • Shapes (Line, Rectangle, Circle) • Color customization using RGB trackbars • Canvas controls (Clear & Save) • Extra features like Fill and Undo This project gave me practical exposure to handling mouse events and building interactive applications using OpenCV. Still exploring ways to make it more advanced and user-friendly. #Python #OpenCV #BuildInPublic #LearningJourney #ComputerVision

A chess-playing computer use agent built for fun. Launch the app, choose the engine strength, and let it play the game for you. Under the hood it: * Detects the chessboard on screen * Identifies which squares are occupied * Uses template matching to recognize every piece * Reconstructs the full board as FEN * Sends the position to Stockfish * Maps the best move back to screen coordinates * Executes the move automatically with PyAutoGUI Started as “can I make this work?”, turned a cool surprisingly effective agent. Tech stack: Python, OpenCV, PyAutoGUI, Stockfish Repo: https://lnkd.in/eFiCc2wF #Python #OpenCV #Chess #ArtificialIntelligence #ComputerVision #Automation #SoftwareEngineering

🚀 Excited to share my latest project! I built a **Computer Vision-based Game Controller** using **Python, OpenCV, and MediaPipe** 🎮 👉 This system uses **hand gestures** to control basic actions in my favorite game **Free Fire**, making gameplay completely touch-free! 🔹 Key Features: * Real-time hand tracking using MediaPipe * Gesture recognition for game controls * Smooth interaction with low latency * Works using just a webcam (no extra hardware!) 💡 This project helped me explore: * Computer Vision * Human-Computer Interaction * Real-time processing with Python ⚡ Tech Stack: Python | OpenCV | MediaPipe Would love your feedback and suggestions! 🙌 #ComputerVision #Python #OpenCV #MediaPipe #GameDevelopment #AI #StudentProject #FreeFire

🚀 Day 6/30 – Counting Game using OpenCV & Python 🐍🎮📷 Day 6 of my 30 Days Python Challenge, and today I built something fun with Computer Vision ✨ I created a real-time Counting Game using OpenCV, where the system tracks the count visually and makes the interaction more engaging while improving logic-building with image processing 💻 What I focused on today: ✨ Real-time frame processing with OpenCV ✨ Counting logic with visual feedback ✨ Building an interactive game experience ✨ Exploring practical computer vision concepts And this is just the start 👀 For the next 5 days, I’ll be sharing more OpenCV-based Python projects, diving deeper into real-time vision applications 🚀 👉 Would love your feedback! 👉 Suggest an OpenCV project I should build next 😄 Day 7 coming tomorrow… stay tuned 👀 #Python #OpenCV #ComputerVision #30DaysChallenge #PythonProjects #CodingJourney #BuildInPublic #AI #MachineLearning

🚀 Built a simple Home Security System using Computer Vision Recently, I worked on a small project where I built a basic home security system using Python. 🔍 Features: * Detects motion / object using OpenCV * Plays alert sound when something is detected * Captures image at that moment * Sends real-time alert message to user Tech Used: Python | OpenCV | Pygame GitHub Repository: https://lnkd.in/dfcsJEaV This project helped me understand how real-time detection and alert systems work together. Looking forward to learning more and building better systems 🚀 #ComputerVision #Python #OpenCV #AI #Projects #Learning

Warning! Strobing Lights might give you a feel of Halucination. I made this camera-tracking micro-interaction with finger movement using Claude code, Python, MediaPipe, and OpenCV. If you don't know Python, this can also be done with Claude Code + HTML5/ CSS3 + Three.js. Claude Code has created a door for a new world for you. You just need to open the door. It opens a stream of possibilities that you can create with it. Claude code + MCP is another amazing combination that can make design productivity more streamlined and faster. A new batch is starting on 13th April, Monday, where the participants will learn every bit of it. Step-by-Step. No rush, no complicated jargon, more suited to the Creative minds. Technology should not cripple you, but act as a facilitator in whatever you want to create. BTW, we will also learn how to use SEEDANCE 2 in the best possible way? How to extract the best animation from SEEDANCE 2. How to use the same structured prompt in Kling 3 and other video platforms. How to best use Workflow and AI Agents and so on. #Aprilcohort #vibecoding #python #Claudecode #MCP @genvr.ai GenVR Research Akshay Taneja Gitanjali Sehgal My April Cohort is already full, as you know, I do not take too many participants in one batch.

I created a gesture-based air drawing system that enables drawing in the air using hand movements ✋ ✊ 👆 Developed using Python, OpenCV, and a pre trained MediaPipe model for real time hand tracking and gesture recognition. I also implemented a two-hand control mechanism where one hand acts as a “permission switch” to reduce accidental inputs and improve control. It started as a simple idea, but quickly turned into a fun challenge, especially when the system decided to draw unexpected things 😁 Just a beginning, with plenty of improvements and features to explore next ⚡ Github repository: https://lnkd.in/g2ysHBai Project Report: https://lnkd.in/gxAn47ZS #ComputerVision #Python #OpenCV #MediaPipe

When I was an undergrad, Prof. Rohan Lucas used to teach us a subject in electrical engineering, and was famous for drawing circuits in the air, and erasing parts of it when he realized a mistake. Us students used to struggle trying to keep up with the air drawings. This technology would have helped. :D

🚀 Mini Project Showcase: Python Air Canvas 🎨 I recently developed an interactive Air Canvas using Python, where users can draw on the screen using just hand gestures — no physical contact required! 🔧 Technologies Used: • Python • OpenCV • Hand Tracking 📚 What I learned: • Gesture recognition • Real-time video processing • Building interactive applications This project was a great blend of creativity and technology, and I’m excited to explore more in this field! #Python #OpenCV #ComputerVision #StudentProjects #TechInnovation #LearningJourney

🚀 Built a Real-Time Face Detection System using Python! One of those projects that just hits different when you see it working live on your webcam 👁️ Here's what I used under the hood: 🔹 OpenCV – for real-time video capture & drawing bounding boxes 🔹 Haar Cascade / MediaPipe – for accurate face detection 🔹 Python – keeping it clean & simple What it does: ✅ Detects faces in real-time from webcam feed ✅ Draws bounding boxes around detected faces ✅ Works smoothly even on low-end hardware (tested on my laptop – no GPU!) Computer Vision isn't as intimidating as it sounds. Once you break it down step by step, it's actually super fun to build! 🔥 Currently exploring how to extend this into emotion detection and face recognition 👀 Share your thoughts — Have you tried building anything with OpenCV or MediaPipe? Drop it in the comments! 👇 #Python #ComputerVision #OpenCV #FaceDetection #MediaPipe #AIProjects #MachineLearning #BuildInPublic #StudentDeveloper #ArtificialIntelligence #100DaysOfCode #ShadevProjects