Me and my team built a"Real-Time Face Recognition & Emotion Detection System". Used Python, OpenCV, LBPH, and DeepFace to identify faces and detect emotions live from a webcam feed. From training the model on a custom dataset to handling multiple faces in real-time, this project pushed us to solve real computer vision challenges. #ComputerVision #AI #Python #MachineLearning #DeepLearning #OpenCV #FinalYearProject

🚀 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

I’ve recently been working on a project focused on analyzing water flow using OpenCV and Python 🌊 The objective is to detect water regions in video frames, track their movement, and visualize the flow direction using arrows. While the concept seems straightforward, implementing it has been both challenging and rewarding. Through this project, I’ve been exploring: Color-based detection using HSV Image processing techniques to refine results Motion tracking between frames Visualizing real-time flow patterns This project is still a work in progress. I am currently working on improving detection accuracy under varying lighting conditions, enhancing the smoothness of flow tracking, and optimizing performance for better real-time results. It’s been a valuable experience applying theory to practical scenarios and continuously refining the approach to achieve more reliable outcomes. #OpenCV #Python #ComputerVision #ImageProcessing #TechProject

🔗 https://lnkd.in/gwDi35Q4 🎙️ Built a voice command classification system using Python, leveraging MFCC for audio feature extraction and Librosa for signal processing. 🤖 Trained machine learning models with Scikit-learn to accurately classify voice inputs into predefined commands. 🎓 Developed under the guidance of @Y Vikas #MachineLearning #Python #SpeechRecognition #AudioProcessing #ScikitLearn #AIProjects #AIML #DeepLearning

What if you could write… without touching anything? 🤯 I built an Air Writing System using Computer Vision that lets you draw in the air using just your hand ✋✨ Using Python, OpenCV, and MediaPipe, I implemented: 🎨 Gesture-based drawing 🧽 Smart erase system 🎯 Real-time hand tracking 💾 Save functionality This was a fun project that shows how AI can make human-computer interaction more natural and futuristic. More cool projects coming soon 🚀 #AI #ComputerVision #OpenCV #Python #TechProjects #Innovation #FutureTech

Exploring Polynomial Regression in Machine Learning I created a Kaggle notebook to understand how non-linear relationships can be modeled by transforming features into higher-degree polynomials. This project highlights how extending linear models can help capture complex patterns in data more effectively. Kaggle notebook 👇 https://lnkd.in/gk4rWZ8n #MachineLearning #DataScience #PolynomialRegression #Kaggle #Python

🚀 Recently worked on a Computer Vision project! Built a Human Motion Detection System using Python, Django, and OpenCV. 📸 The image shows the system tracking human movement and analyzing activity in real time. 🔍 It can identify: • Idle • Active • Movement 💡 This project helped me understand how video processing and motion tracking work behind the scenes. Tech Stack: • Python • Django • OpenCV Looking forward to improving this further and adding more intelligent features! #Python #Django #OpenCV #ComputerVision #AI #Projects #Learning

Developed an AI-Powered Geospatial Land Analysis System that classifies satellite images using a Convolutional Neural Network, integrated with a dynamic web application for voice-enabled insights and interactive map visualization. Technologies: Python, TensorFlow, FastAPI, React.js, Tailwind CSS, Leaflet. #ArtificialIntelligence #MachineLearning #ComputerVision #GeospatialAnalysis #FullStackDevelopment #Python #ReactJS

🚀 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

🚀 Face Recognition System using Machine Learning Excited to share that I built a real-time Face Recognition system using Python and Machine Learning. 🔍 Project Overview: The system captures facial data, trains a model on labeled images, and performs real-time face recognition using a webcam. 💡 Key Features: • Face Detection using Haar Cascade Classifier • Face Recognition using LBPH Algorithm • Real-time prediction using webcam • Custom dataset creation 🤝 This project was developed collaboratively as part of a team, where I played a key role in building the complete pipeline—from data collection to real-time recognition. 🛠️ Tech Stack: Python | OpenCV | NumPy | Machine Learning 🔗 GitHub Repository: https://lnkd.in/gYUzw-uk This project helped me strengthen my understanding of computer vision and real-time applications. Looking forward to building more such projects! 💡 #MachineLearning #FaceRecognition #ComputerVision #Python #OpenCV #AI #Projects