Check out my latest Computer Vision project! I've created an "invisible cloak" effect using Python and OpenCV.🪄✨ This project uses image processing to make a selected color disappear in real-time video, creating a seamless illusion of invisibility. It's a fun and practical application of core Computer Vision concepts. How it works: Captures the background before the "cloak" is in view. Converts frames to the HSV color space to better isolate the target color. Creates a mask by detecting the "cloak" color using a defined range. Applies morphological operations (opening and dilation) to clean up the mask and remove noise. Combines the background with the live video feed using the mask, replacing the "cloaked" area with the original background image. Tech Stack: #Python #OpenCV #NumPy This project was a great way to practice bitwise operations, masking, and morphological transformations. You can find the full code on my GitHub! GitHub Repo: https://lnkd.in/eDBz9iD6 #Python #OpenCV #ComputerVision #MachineLearning #ImageProcessing #Innovation #CodingProjects #GitHub

🎨 When Math Meets Art Through Code This small Python script is more than just math — it’s digital art in motion. Here’s what it does in simple terms: 👉 You enter two values — one for the cosine (the horizontal balance) and one for the sine (the vertical balance). 👉 The code then finds the magnitude (how far the line extends) and the angle (the direction it points). 👉 Finally, it plots that relationship on a polar graph, turning numbers into a shape — a visual expression of harmony between direction and distance. What makes this special is its blend of logic and beauty. Each coordinate you enter becomes a new stroke on the canvas — a geometric interpretation of rhythm and symmetry. Just like an artist uses color and brushstrokes, this uses math and code to craft patterns. It’s a reminder that creativity isn’t limited to paint or music — it can live in equations, algorithms, and data too. 🌀 Every formula tells a story — it just depends on how you choose to visualize it. #DigitalArt #CreativeCoding #Python #STEAM #MathMeetsArt #InnovationThroughDesign

🚀 Excited to share my latest project – a Mini Paint Application built using Python & OpenCV! 🎨🖌️ ✨ Features: ✔ Freehand drawing with customizable colors & thickness ✔ Eraser tool ✔ Shape tools (Rectangle, Circle, Straight Line) with live preview ✔ Save and clear canvas options This project was a great hands-on way to explore OpenCV event handling, mouse callbacks, and interactive GUI design in Python. 🔗 Check out the full code on GitHub: [https://lnkd.in/eW6UcJHu] ✨Special thanks to SAXON K SHA and Innomatics Research Labs for continuous support throughout my journey. Special gratitude to Vishwanath Nyathani , Kalpana Katiki Reddy, Raghu Ram Aduri, Sigilipelli Yeshwanth, Manohar Chary .V, Deepraj Vadhwane , Shaheer Shaik and Prashanth Varikuppala Would love to hear your feedback and suggestions! 🙌 #Python #OpenCV #ComputerVision #Project #LearningByDoing

Day 27/49: “Fractal Explorer”—Automated Art, Zero Input For today’s #49Days49Projects, I wanted to push algorithmic art to its max—without ever touching a keyboard after ‘run’. So I built a pure Python system that generates fractal zooms, step by step, color-mapped and saved straight to PNG with no user input at all. Every frame dives deeper into the Mandelbrot set. The script logs pixel-level statistics (entropy, mean iteration) for later analysis—auto-organized, reproducible, and ready for GIF-making or exploration with any image viewer. All visuals, color logic, and stats are algorithmic; the only human part is watching entropy and beauty emerge. What’s inside: Fully-automated Mandelbrot set rendering (PNG frames, no prompts) “Fire” palette mapped by escape time Per-frame complexity (entropy) and mean stats as CSV Clean output folder for instant use Requires only matplotlib, numpy (no extras) #49Days49Projects #Python #FractalArt #Visualization #NoInput #AutomateEverything #OpenSource #Day27

🚀 Day 6 of #30DaysOfCode: Counting Non-Space Characters! Hey #CodingCommunity! 👋 Day 6 brought a clean string manipulation challenge that's perfect for understanding character-level processing! 🎯 The Problem: Count Non-Space Characters Write a function that counts all characters in a string except space characters. Real-World Applications: Text analysis - measuring content density Input validation - ensuring meaningful data Social media - character limits without counting spaces Data processing - cleaning and analyzing text datasets 🎯 Today's Challenge Can you modify this to: Count only alphanumeric characters? 💭 Reflection Sometimes the simplest problems teach the most fundamental concepts. Character-by-character processing is at the heart of many complex string algorithms! Day 6 complete! 20% through the challenge! 🎉 #30DaysOfCode #Python #StringManipulation #Algorithms #CodingChallenge #Programming #ProblemSolving

Day 30/30 – #30DaysOfCode Complete! ✅ To wrap up this challenge, I built a Face Recognition Attendance System using: OpenCV, face_recognition, NumPy, and Python CSV 💡 What it does: 1) Detects and recognizes faces in real-time using a webcam 2) Logs attendance into a .csv file with the current date and timestamp 3) Auto-removes students from the list once marked present 4) Uses facial encodings for accurate identification 💻 Tools & Concepts: 1) Face encoding & comparison using face_recognition 2) Real-time webcam capture with OpenCV 3) CSV file handling in Python 4) Basic image preprocessing & optimization 💡 Key Learnings: 1) How facial recognition works behind the scenes 2) Efficient real-time video processing 3) The power of combining simple libraries to build real-world applications. From small Python scripts to working on actual mini-projects, this journey has helped me grow not just as a developer but also in consistency, problem-solving, and building in public. #30DaysOfCode #FaceRecognition #PythonProject #OpenCV #MachineLearning #BuildInPublic #CodeNewbie #AttendanceSystem #LinkedInTech #AIProjects #100DaysOfCode

🚀 Excited to share my latest project! I built a gesture-controlled volume system using Python, OpenCV, Mediapipe, and Pycaw 🎶✋. With just finger movements, you can increase or decrease system volume — no buttons, no mouse, just pure hand tracking! 👉 Tech stack used: OpenCV for real-time camera feed Mediapipe (custom hand tracking module) Pycaw to control Windows audio Numpy for calculations This project taught me a lot about computer vision, system integration, and creating an intuitive human–computer interaction experience. 🎥 Demo video below — watch how finger distance directly controls the volume bar + system sound in real time! #Python #OpenCV #ComputerVision #GestureRecognition #AI #MachineLearning #Projects #HandTracking

🚀 Excited to share my latest mini-project: AI Snake Game in Python! Built using Pygame with both manual and AI modes. The AI uses BFS pathfinding to navigate the snake automatically! 🐍 Features: Manual & AI mode toggle (A key) Snake head & food images Background music & eat sound Adaptive speed & high score tracking Game Over screen with restart option Check it out on GitHub: https://lnkd.in/gqat2Cz2 Skills demonstrated: Python, Pygame, AI, OOP, game logic #Python #GameDevelopment #AI #Pygame #MiniProject #Coding

🚗 Car Price Prediction App – Data Science Project I’m excited to share my latest project where I built a Car Price Prediction App using Python, Stream-lit, and Machine Learning! 💡 Features: Predict car prices based on features like age, mileage, engine size, transmission, fuel type, etc. Interactive UI with Stream-lit for easy input and instant prediction. Data preprocessing and scaling for accurate results. Check out the app here: https://lnkd.in/eBPtXY7i Watch it in action: LinkedIn video This project helped me strengthen my skills in Python, Pandas, NumPy, Scikit-learn, and Stream-lit. Feedback and suggestions are welcome! #DataScience #MachineLearning #Python #Streamlit #Projects #CarPricePrediction

Exploring Image Processing and Manipulation with Python Here are some of the projects I've worked on in few days: Key Projects: 1. Image Processing: Developed a script to load, display, and manipulate images using OpenCV and NumPy. 2. Image Scraper and Downloader: Created a GUI application to scrape and download images from Bing using BeautifulSoup and requests. 3. ASCII Art Generator: Built a script to generate ASCII art from images using PIL. 4. Image to PDF Converter: Developed a script to convert images to PDF files using PIL. Technologies Used: ->Python: The primary programming language used for all projects. ->OpenCV: Used for image processing and manipulation. ->BeautifulSoup: Used for web scraping and parsing HTML. ->PIL: Used for image processing and generating ASCII art. tkinter: Used for creating GUI applications. I've been exploring various image processing techniques using Python, including image filtering, edge detection, and ASCII art generation. Check out my GitHub repo for the code and let's connect! https://lnkd.in/gsTcpcAw #ImageProcessing #Python #MachineLearning #ComputerVision #ArtificialIntelligence #DataScience #ImageManipulation #ASCIIArt #PDFConversion #WebScraping #BeautifulSoup #OpenCV #PIL #Programming #Development #Tech #Innovation