Antigravity + Claude combo is crazy. I just used Opus latest Model to transform idea into reality and more projects and ideas on the way. Building > overthinking We’re entering an era where AI can handle a lot of the heavy lifting. Many top engineers and recruiters say this clearly: 👉 The value is shifting from writing every line of code to thinking, designing, and building systems. 👉Problem Solving and System Design is the future. So instead of waiting to “learn everything first”, I tried something different, I started building. This made me realize: 👉 In today’s world, we need to become builders & architects, not just coders. Would love your thoughts on this 👇 #BuildInPublic #AI #Developers #Python #Projects #Learning #SystemDesign

Got bored of grinding DSA… so I built something fun instead 👀 Ever thought of drawing on your screen without touching it? I created an Air Canvas using OpenCV & Python where you can draw just by moving a coloured object in front of your camera. Honestly, this started as a break from DSA but turned into one of the most fun things I’ve built. 💡 What it does: Tracks a colored object (like a blue pen/tape) Detects motion in real-time using OpenCV Draws on a virtual canvas as you move ✨ Why this project? Because sometimes the best way to learn is to step away from the grind and build something exciting. And surprisingly, this taught me: Real-time image processing Object tracking Contour detection Way more engaging than solving another array problem 😅 If you’re stuck in tutorial hell or bored of DSA, try building something small and fun and you might enjoy learning again. #Python #OpenCV #ComputerVision #BuildInPublic #CodingJourney #Tech #Developers

How does a webcam feed become ASCII art in real time? 🖥️ I built ASCII-Realtime — a Python tool that renders your webcam as live ASCII characters inside the terminal. Here's exactly how it works: 𝟏. Capture a frame from the webcam (OpenCV) 𝟐. Convert it to grayscale — color doesn't matter, only brightness 𝟑. Apply contrast, brightness & gamma correction — this massively improves how dark/light areas look in text form 𝟒. Resize the frame — but with a 0.45 height multiplier, because terminal characters are ~2x taller than wide. Skip this and everything looks squished. 𝟓. Map each pixel's brightness (0–255) to a character in a gradient set:   dark ░░ ....::--==++**##%% ░░ bright 𝟔. Wrap it in ANSI color codes and print. Repeat every 30ms. The result? 30fps ASCII video. In your terminal. In ~60 lines of Python. Things I found interesting while building this: → Gamma correction alone made the output go from muddy to sharp → The character SET you choose matters more than resolution → os.system('clear') + reprint is fast enough for smooth playback Fully open source 👇 https://lnkd.in/dZ7-te4T Drop a ⭐ if you find it cool — and let me know if you've built anything weird with OpenCV! #Python #OpenCV #ASCII #ComputerVision #BuildInPublic #OpenSource #Programming #100DaysOfCode

Excited to share a new project from my portfolio: Clue2 — a Python implementation of the classic deduction game Clue, powered by a logic‑driven AI detective. What I built: A modular game engine and state tracker for full game flow A propositional‑logic knowledge base that lets the AI reason about cards and opponent reveals Simulation tools to run automated games and measure agent performance A full suite of unit tests to keep the system reliable and maintainable What I learned: Practical propositional reasoning & knowledge representation Designing deterministic simulations for agent evaluation Writing reliable, test‑first Python for game systems If you’re curious about the design or want a walkthrough, feel free to DM me or check out the repo. Always open to feedback and opportunities involving AI, simulation, or systems engineering. GitHub link: https://lnkd.in/ggyTarrU #Python #AI #GameDev #Logic #TDD #OpenSource #Portfolio

🚀 Understanding PageRank Through Code-Based Simulation 🌟 I recently worked on a simulation inspired by the PageRank algorithm, where I implemented a directed graph model using Python to understand how importance flows across nodes in a network. In this project: I Built a directed graph using NetworkX Simulated point redistribution across nodes based on outgoing links Observed how rankings evolve over multiple iterations Compared the results with the built-in PageRank algorithm This hands-on approach helped me understand: ✔ How ranking systems work behind search engines ✔ The importance of graph theory in real-world applications ✔ How iterative algorithms converge to stable results 💡 It’s fascinating to see how simple logic can model complex systems like web page ranking! #Python #DataStructures #Algorithms #GraphTheory #PageRank #MachineLearning #DataScience #Coding #Programming #LearnByDoing #ComputerScience #TechProjects #PythonProjects #Developers #LinkedInLearning #EngineeringStudents #CodeNewbie #AI #NetworkAnalysis #StudentProjects

Built a working OCR pipeline using Python in just 9–10 lines of core logic 🚀 Used EasyOCR to extract text directly from images Handled real-world setup challenges like NumPy and Torch compatibility Implemented image-to-text extraction with confidence scores Tested on sample images and got accurate, structured output This helped me understand how OCR systems actually work under the hood Simple code, but powerful outcome—great learning experience Clean, minimal, and efficient approach to computer vision basics What’s the most interesting use case of OCR you’ve seen or built? 🤔 #Python #OCR #ComputerVision #MachineLearning #EasyOCR #OpenSource #LearningByDoing #AI #Developers

🚀 I turned my hand into a mouse… using Python 👀 No hardware. No touchpad. Just hand gestures controlling my laptop in real-time. I built a Virtual Mouse using OpenCV & MediaPipe that can: 🖐 Move the cursor 👆 Perform clicks 💡 How it works: Hand tracking using MediaPipe Image processing with OpenCV Gesture recognition mapped to mouse controls This project helped me understand: • Computer Vision fundamentals • Real-time tracking systems • Human-computer interaction It’s crazy to see how software can replace physical hardware 🤯 🎥 Demo in comments (or coming soon) Would love your feedback! 🙌 #Python #OpenCV #ComputerVision #AI #Projects #Learning #Developers

Unpopular opinion: Most ML portfolios are useless. 10 Titanic survival predictions. 5 house price regressions. 3 MNIST digit classifiers. Everyone has the same projects because everyone follows the same tutorials. Recruiters have seen it 1000 times. The projects that actually stand out solve a real problem with messy real-world data. Not clean Kaggle datasets with a leaderboard. What’s a project you’ve seen that actually impressed you? #MachineLearning #AI #Python #ComputerVision #StudentDeveloper #BuildInPublic #DeepLearning #DataScience #PyTorch #Programming

Built my first Real-Time AI Hand Gesture Recognition System Today I built a computer vision project using Python, OpenCV, and MediaPipe that can detect a human hand in real-time through webcam and count fingers accurately. 🧠 Features: ✔ Real-time hand tracking ✔ Finger counting (0–5) ✔ Gesture recognition (STOP / GO) ✔ Hand orientation fix (left/right detection) This project helped me understand how AI models process live camera input and how small logic changes can significantly improve accuracy (especially thumb detection based on hand orientation). Tech Stack: Python | OpenCV | MediaPipe Still learning, but step by step building toward real-world AI applications and computer vision systems. Next goal: upgrading this into a full gesture-controlled system (mouse control / volume control). #MachineLearning #ComputerVision #Python #AI #OpenCV #LearningByDoing #100DaysOfCode

“Successfully developed a real-time AI-based Object Detection system using Python and YOLOv8. The system performs: Object detection 🎯 Multi-object tracking 🔄 Live counting of people/objects 📊 This project demonstrates practical implementation of Computer Vision for real-world monitoring applications.” #smartautomation #Aicamera #Ai #amazonindia #Amazonrme #automation #industry4.0