🚀 Morse Code Player with Text-to-Speech & Audio Generation | Python Project What if an age-old communication method could be brought back to life with modern code? 👨💻 I built a Morse Code Player that converts Text ↔ Morse in real time, plays audible tones, generates WAV files, and even speaks the text aloud — all using Python (Tkinter, NumPy, gTTS, winsound, wave). Sure, there are tools out there that do similar things — but I wanted to make this one fun, hands-on, and educational, so anyone can play, learn, and truly experience Morse communication in an interactive way. 🎶 Beyond nostalgia, Morse Code is still used in aviation, military communication, ham radio, underwater signaling, and even assistive technologies for people with speech disabilities. This project combines digital communication principles with audio signal processing and a bit of creativity 💡 Grateful to Anitha Rajesh Ma’am for the guidance and mentorship. 👉 What’s your favorite example of old tech being revived with modern innovation? #Python #SignalProcessing #Innovation #ECE #AudioEngineering #DigitalCommunication #MorseCode #TextToSpeech #Engineering
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Just stumbled on OpenVoice 🚀 – an instant voice‑cloning toolkit from MIT and MyShell. It’s a Python‑based audio foundation model that can mimic a speaker with just a few seconds of audio. With 35,330 ⭐ it’s clearly useful for prototyping voice assistants, dubbing, or just playing with TTS. Gives you high‑quality clones without massive datasets. Check it out! https://lnkd.in/dGGGhPA8 #Python #Programming #myshell-ai #MachineLearning #AI #Trending
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🚀 New Project Launch: Morse Code Detection Using Eye Blinks 👁️ I built a real-time Streamlit app that translates eye blinks into Morse code, using MediaPipe FaceMesh, OpenCV, and WebRTC. 💡 This project demonstrates how computer vision can empower hands-free communication — useful for accessibility, defense tech, and assistive applications. 🔹 Detects blinks in real-time using webcam 🔹 Classifies short/long blinks as Morse symbols 🔹 Decodes live text on-screen 🔹 Built with Python, Streamlit, and Mediapipe #AI #ComputerVision #Streamlit #Python #Innovation #Mediapipe #MachineLearning #AssistiveTech #OpenCV #Accessibility
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I'm excited to share my latest project:𝐓𝐡𝐞 𝐏𝐲𝐋𝐚𝐛𝐛, a powerful audio analysis and processing tool built entirely in Python. 🚀 My primary goal for this project was a deep dive into Digital Signal Processing (DSP) using Python and its incredible scientific libraries. I wanted to build a robust engine capable of dissecting and manipulating audio signals. Key Features: • 𝐅𝐨𝐫𝐞𝐧𝐬𝐢𝐜 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬: Instantly extracts core parameters (RMS Energy, Spectral Centroid, estimated BPM, etc.) using librosa. • 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝 𝐕𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧: Generates 7 different scientific plots (Spectrograms, Mel Spectrograms, MFCCs, etc.) with matplotlib to visualize sound data. Users can also export these graphs as image files. • 𝐀𝐮𝐝𝐢𝐨 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠: Cleans and modifies audio with tools like AI-powered Noise Reduction, Pitch Shifting and Low-Pass Filters. The resulting processed audio can be saved in various formats (WAV, MP3, FLAC). • 𝐓𝐡𝐫𝐞𝐚𝐝𝐞𝐝 𝐏𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞: The app remains responsive thanks to multi-threading, handling heavy tasks like graph generation and batch processing in the background. This project was a fantastic way to explore Python's capabilities for DSP and building event-driven applications. The user interface itself is a simple desktop application built using Tkinter, but the real focus was on the Python audio engine underneath. #Python #Librosa #NumPy #Matplotlib #Scipy #Pygame #Pydub #SoundFile #NoiseReduce #AudioProcessing #DigitalSignalProcessing #DSP #PythonDeveloper #DesktopApp
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🎯 Dynamic Motion Detection and Tracking using OpenCV Developed a real-time motion detection system using OpenCV and Python to track and highlight moving objects in a video stream. The system computes frame differencing between consecutive frames, applies Gaussian blurring to reduce noise, and detects motion regions using Canny edge detection and contour analysis. Key Highlights: - Implemented object detection based on frame differencing and contour extraction. - Utilized cv2.minAreaRect() and cv2.boxPoints() for adaptive bounding box generation around moving objects. - Designed the system to work with both live webcam input and pre-recorded video footage. - Optimized for accuracy by combining Gaussian blur and Canny edge thresholds for robust detection under varying lighting conditions. Here Github Link :- https://lnkd.in/gQi44S7j 🧠 Tech Stack: Python | OpenCV | NumPy A special thanks to mu sir SAXON K SHA for teaching,guiding,and supporting me throughtout the learning journey.Your mentorship made this project possible sir. Thanks to Vishwanath Nyathani,Kalpana Katiki Reddy,Raghu Ram Aduri,Sigilipelli Yeshwanth,Manohar Chary .V,Deepraj Vadhwane,Shaheer Shaik,Innomatics Research Labs. #Python #OpenCv #ComputerVision #ImageProcessing #CodingProjects #Artificiallntelligence
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🎤 Ever wished your text could talk? I’m excited to share my latest project — a Text-to-Speech Converter! Using Python, this tool transforms written text into natural-sounding speech with multiple English accents. It’s designed to make content more accessible and interactive, and I gained hands-on experience in audio processing and working with APIs while building it. 💡 Check it out on GitHub: https://lnkd.in/dcxQmand Looking forward to feedback, ideas, and connecting with anyone interested in speech technologies and accessibility tools. #TechProjects #Python #TextToSpeech #Innovation #Accessibility #Learning
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🚀 Gesture-Controlled System Volume using Python 🖐️💻 I built a fun project that lets you control your PC’s volume using hand gestures — no keyboard or mouse required! 🙌 Using OpenCV and MediaPipe, the program tracks the distance between my thumb and index finger to adjust the system volume in real time. The rectangular bar on the screen dynamically shows the current volume level as the gesture changes. 🔹 Real-time hand tracking 🔹 Dynamic volume bar 🔹 Smooth, responsive UI 🔹 Touch-free volume control This was a great way to explore computer vision, gesture recognition, and a bit of UI design. Projects like this show how simple interactions can become powerful tools in everyday life. 🎥 Check out the demo in the video below. 📂 GitHub: https://lnkd.in/dxrUm-3M #Python #OpenCV #MediaPipe #ComputerVision #GestureControl #Innovation #MachineLearning #Coding #AI #LinkedInTech #Automation #OpenSource
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Built a fully functional AI Desktop Assistant capable of controlling the entire computer through voice commands. From opening applications to browsing the web and automating daily tasks, this Jarvis-type system demonstrates how AI can simplify human-computer interaction. Developed using Python, speech recognition, and automation modules, this project reflects my growing expertise in AI-based system integration and intelligent automation.
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🚀 New Project Drop! I’ve built a Rock-Paper-Scissors Hand Detection Game 🎮 using Python, OpenCV, and CVZone — where your hand gestures are recognized in real-time through your webcam! ✨ Key Highlights: Real-time hand gesture detection using CVZone + Mediapipe AI opponent with dynamic visual feedback Interactive scoreboard and retro-style interface Simple, fun, and a great learning experience in computer vision 📂 Check out the complete project here: 👉 https://lnkd.in/e-bMFD4N #Python #OpenCV #ComputerVision #AI #MachineLearning #DeepLearning #ArtificialIntelligence #GameDevelopment #CodingProjects #DataScience #ComputerEngineering #Innovation #TechProject #CVZone #ProjectShowcase #GitHub #Programmer #Developers #StudentProjects #TechCommunity #CodeNewbie #HandTracking #ImageProcessing #MLProjects
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🎧 Gesture-Based Volume Control using OpenCV & PyCAW 🔊 Excited to share my latest Computer Vision project built with Python, OpenCV, and PyCAW! 🚀 Using hand-tracking with MediaPipe and real-time processing in cv2, I created a system that lets you control your PC’s volume with hand gestures — no need to touch the keyboard or mouse. 💡 Tech Stack: Python OpenCV (cv2) for camera and visual tracking MediaPipe for hand landmark detection PyCAW for Windows audio control 🎯 Key Learning Points: Real-time frame processing using OpenCV Integrating system-level audio APIs with PyCAW Smooth gesture mapping between camera input and volume control A special thank you to Rohit Kokane for being part of the demo and helping bring this project to life Proud of this step in my Computer Vision learning journey — and can’t wait to explore more interactive AI projects next! 🙌 #Python #OpenCV #PyCAW #ComputerVision #AI #MachineLearning #TechInnovation #GestureControl #Programming #LearningJourney
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🧠 Building a Smart Voice Assistant with Python I’m excited to share my latest project — a Voice Assistant developed using Python, integrating libraries like Speech Recognition, pyttsx3, datetime, and web browser. 🎙️💻 This assistant can: 🔹 Greet the user based on the time of day 🔹 Tell the current date and time 🔹 Open websites like YouTube, Google, and GitHub 🔹 Perform Google and Wikipedia searches 🔹 Respond to user commands using real-time speech synthesis 💡 Key Learnings: Implemented speech-to-text and text-to-speech features in Python Improved understanding of event-driven programming Learned API integration and task automation concepts 📹 Here’s a short demo of my project in action 👇 This project deepened my interest in artificial intelligence-driven automation and IoT-enabled voice technologies. I’m eager to continue exploring innovations in AI, Python backend systems, and intelligent automation solutions. Codegnan Uppugundla Sairam Saketh Kallepu Jani Basha Shaik #Python #VoiceAssistant #AI #SpeechRecognition #PythonProjects #Coding #Learning #codegnan
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🎵 One of my favourite examples of old tech being revived with modern innovation is vinyl records. Once replaced by digital music, they’ve made a huge comeback thanks to modern turntables and high-quality sound systems. 💿✨