Day 110/365 — Building a Hand Detection System with Python Today I started working on a real-time hand detection system using my webcam. The goal? To move closer to building AI-powered gesture control systems (think controlling apps with your hands ). 🛠️ What I’m using: - Python – core language - OpenCV – for camera capture & image processing - MediaPipe – for hand tracking & detection-Webcam (real-time input) What I built today: - Connected camera using OpenCV - Displayed live video feed - Set up the loop to process frames - Preparing for hand landmark detection next What’s next: 1. Detect hand landmarks 2. Track finger positions 3. Map gestures to actions (like volume control, scrolling, etc.) This is how simple projects grow into powerful AI systems. #Day109 #365DaysOfCode #Python #AI #ComputerVision #OpenCV #MediaPipe #BuildInPublic #ZambiaTech

Built a real-time Face Mesh detection system using OpenCV and MediaPipe 🎯 This project captures live video from the webcam and maps 468 facial landmarks with high precision, enabling advanced facial tracking and visualization. Tech Stack: Python | OpenCV | MediaPipe Excited to explore more in computer vision and AI 🚀 #ComputerVision #AI #Python #OpenCV #MediaPipe #Projects

Excited to share my latest project: Face Recognition Based Attendance System 🎯 Built using Python, OpenCV, and Machine Learning (KNN), this system detects faces in real-time and marks attendance automatically. 🔹 Real-time face detection 🔹 Automated attendance logging 🔹 Voice confirmation feature Looking forward to enhancing it further and exploring more in AI & Computer Vision! 🚀 #Python #OpenCV #MachineLearning #FaceRecognition #AI #Projects #Learning

Been exploring Computer Vision using OpenCV and honestly had a lot of fun with it. Real-time hand tracking, gesture recognition, and object detection — all running live through the camera. Fed it custom image datasets so the model could learn and predict objects more accurately. Exploring how training data, model predictions, and real-time inference come together in practice. Still figuring out a lot and enjoying every bit of it. #OpenCV #ComputerVision #MachineLearning #Python #Ai #pythonprogramming

🚀 Day 8/30 – Image Transformations using OpenCV & Python 🐍📷 Day 8 of my 30 Days Python Challenge, and today I focused on strengthening my Computer Vision fundamentals ✨ I explored some essential image transformation techniques using OpenCV, including: ✨ Resize – changing image dimensions ✨ Crop – extracting a specific region ✨ Flip – horizontal and vertical transformations ✨ Rotate – rotating images at different angles ✨ Translation – shifting images across axes This hands-on practice helped me better understand how images are manipulated behind the scenes in real-world vision applications 💻 Every small concept is helping me build a stronger base for advanced OpenCV and AI projects 🚀 👉 Would love your feedback! 👉 Which image processing concept should I explore next? 😄 Day 9 coming tomorrow… stay tuned 👀 #Python #OpenCV #ComputerVision #ImageProcessing #30DaysChallenge #PythonProjects #AI #MachineLearning

If you're building projects in Computer Vision, knowing the right OpenCV functions can save you a lot of time. Here’s a concise breakdown of essential OpenCV functions used in: • Image processing • Feature extraction • Object detection A quick reference you can revisit anytime. 🔖 Save for later 💬 Open to feedback & suggestions #python #opencv #cheatsheets #coding #Ai #notes

Built a Real-Time Facial Recognition System from scratch using Python & OpenCV! 🎯 Here's how it works: 👤 Register — captures 30 face samples via camera 🧠 Train — LBPH algorithm learns your face pattern ✅ Recognize — detects and identifies faces in real time with confidence scoring Tech Stack: 🔹 Python 🔹 OpenCV 🔹 Haar Cascade 🔹 LBPH Algorithm 🔹 NumPy Key learnings: → How face detection & recognition pipelines work → Importance of confidence thresholds in ML models → Real world application of computer vision Thanks for featuring Anchal Rai !! The journey JAGANNATH INSTITUTE OF MANAGEMENT SCIENCES VASANTKUNJII continues with learning and exploring. This is just the beginning : next up is exploring deep learning based approaches for even better accuracy! 🚀 #Python #OpenCV #ComputerVision #MachineLearning #FacialRecognition #GenAI #BCA #StudentProject #Hackveda

🚀 Hand Gesture Drawing with OpenCV & Python Excited to share my latest project where I built a virtual drawing system that lets you draw on the screen using just hand gestures—no touch required! ✋🎨 Using computer vision techniques in OpenCV, the system detects and tracks hand movements in real time through a webcam. By identifying key gestures, it allows users to draw, erase, and interact with a digital canvas effortlessly. 🔹 Real-time hand tracking 🔹 Gesture-based controls 🔹 Touchless drawing experience 🔹 Built with Python & OpenCV This project highlights how AI and computer vision can create intuitive, contact-free interfaces for creative applications. #Python #OpenCV #ComputerVision #AI #MachineLearning #Innovation #GestureControl

🚨 𝐀𝐈 𝐜𝐚𝐧 𝐝𝐞𝐭𝐞𝐜𝐭 𝐲𝐨𝐮𝐫 𝐬𝐭𝐫𝐞𝐬𝐬… 𝐰𝐢𝐭𝐡𝐨𝐮𝐭 𝐲𝐨𝐮 𝐬𝐚𝐲𝐢𝐧𝐠 𝐚 𝐰𝐨𝐫𝐝. We built a Stress Recognition System using Facial Landmark Annotation to capture micro-expressions and convert them into real-time stress levels. 🔍 𝐖𝐡𝐚𝐭 𝐰𝐞 𝐝𝐢𝐝: • 🎯 Tracked 468 facial landmarks (MediaPipe) • 📊 Labeled frames with 3D coordinates + stress intensity • ⚙️ Built an ML-ready dataset using OpenCV, Python, NumPy & Pandas 🧠  𝐌𝐨𝐬𝐭 𝐀𝐈 𝐝𝐞𝐭𝐞𝐜𝐭𝐬 𝐟𝐚𝐜𝐞𝐬. Very few understand human emotion. 👉 𝐖𝐡𝐞𝐫𝐞 𝐝𝐨 𝐲𝐨𝐮 𝐬𝐞𝐞 𝐭𝐡𝐢𝐬 𝐛𝐞𝐢𝐧𝐠 𝐮𝐬𝐞𝐝? #AI #ComputerVision #MachineLearning #EmotionAI #OpenCV #MediaPipe #teamwork

Excited to share my latest project: 𝐇𝐚𝐧𝐝 𝐆𝐞𝐬𝐭𝐮𝐫𝐞 𝐃𝐫𝐚𝐰𝐢𝐧𝐠 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧 I built a real-time system that allows users to draw in the air using hand gestures - no mouse or keyboard required. This project is developed using Python, OpenCV, and MediaPipe, where the application captures live video, detects hand landmarks, and converts gestures into drawing actions. 𝑭𝒆𝒂𝒕𝒖𝒓𝒆𝒔: • Draw using finger movement • Change colors with gestures • Erase drawings using hand gestures • Supports both single-hand and two-hand modes 𝑻𝒆𝒄𝒉 𝑺𝒕𝒂𝒄𝒌: Python || OpenCV || MediaPipe || NumPy 𝑾𝒉𝒂𝒕 𝑰 𝒍𝒆𝒂𝒓𝒏𝒆𝒅: • Computer Vision fundamentals • Real-time gesture recognition • Working with pre-trained ML models 🎥 𝑫𝒆𝒎𝒐 𝒗𝒊𝒅𝒆𝒐 𝒂𝒕𝒕𝒂𝒄𝒉𝒆𝒅 𝒃𝒆𝒍𝒐𝒘 : 𝐆𝐢𝐭𝐇𝐮𝐛: https://lnkd.in/eRkUXtjb 𝘐 𝘸𝘰𝘶𝘭𝘥 𝘭𝘰𝘷𝘦 𝘵𝘰 𝘩𝘦𝘢𝘳 𝘺𝘰𝘶𝘳 𝘧𝘦𝘦𝘥𝘣𝘢𝘤𝘬 𝘢𝘯𝘥 𝘴𝘶𝘨𝘨𝘦𝘴𝘵𝘪𝘰𝘯𝘴! #Python #OpenCV #MediaPipe #ComputerVision #AI #Projects #Learning #Developer