Mem-App’s Post

Tired of Reading Long Texts? Here's How This Extension Can Help! Are you overwhelmed by lengthy articles or documents? Introducing our Text-to-Speech Chrome Extension, created by me, Maniwebdev! 📖➡️🔊 With just a click, transform any webpage into an audio experience. Perfect for multitaskers, auditory learners, and those who want to give their eyes a break. Features: 📄 Read aloud any text on the web 🖍️ Highlight and scroll as you listen 🎚️ Adjustable reading speed Try it now and make reading effortless! 🚀 #TextToSpeech #ChromeExtension #WebDevelopment #Productivity #TechInnovation #ManiWebDev #ListeningIsTheNewReading #ReadAloud #TechForGood #BoostProductivity #DeveloperLife #ExtensionLaunch

Tired of Reading Long Texts? Here's How This Extension Can Help! Are you overwhelmed by lengthy articles or documents? Introducing our Text-to-Speech Chrome Extension, created by me, Maniwebdev! 📖➡️🔊 With just a click, transform any webpage into an audio experience. Perfect for multitaskers, auditory learners, and those who want to give their eyes a break. Features: 📄 Read aloud any text on the web 🖍️ Highlight and scroll as you listen 🎚️ Adjustable reading speed Try it now and make reading effortless! 🚀 #TextToSpeech #ChromeExtension #WebDevelopment #Productivity #TechInnovation #ManiWebDev #ListeningIsTheNewReading #ReadAloud #TechForGood #BoostProductivity #DeveloperLife #ExtensionLaunch

Dear LinkedIn Community, I have yet another exciting project which I wanted to share with you. Audio Comparison App: Enhancing Sound Analysis with Python Problem Statement: In the dynamic world of audio analysis, there's a growing need for accurate and efficient tools to compare and assess audio files. Musicians, language learners, and audiophiles often seek a solution to measure the similarity between two audio pieces, evaluating aspects like pronunciation, pitch, and tempo. Solution: Introducing the Audio Comparison App, a Python-based tool designed to address the challenges of audio file comparison. Leveraging advanced signal processing techniques, the app computes a comprehensive set of features, enabling precise and detailed analysis. Key Features: 1. Chroma Features: Utilizes short-term Fourier transform (STFT), constant-Q transform (CQT), and other methods to extract rich chroma features. 2. Similarity Measures: Employs cross-recurrent plots and various similarity measures (Qmax, Dmax) for accurate audio comparisons. 3. Scoring System: Provides scores for consistency, pronunciation, intonation, pitch, and speed, offering a holistic assessment of audio quality. 4. Database Integration: Seamlessly connects with MySQL to store and update user scores, ensuring a personalized and adaptive experience. Tech Stack: 1. Python: The heart of our application, providing powerful libraries for signal processing and analysis. 2. Flask: A lightweight and efficient web framework for running the application. 3. Librosa: A Python package for music and audio analysis, enhancing our feature extraction capabilities. 4. MySQL: Ensuring robust data management and storage for user scores. Why You Should Care: Whether you're a musician perfecting your craft, a language enthusiast honing pronunciation, or simply an audio aficionado exploring soundscapes, the Audio Comparison App empowers you to understand and improve your audio files with precision. Connect with the Future of Sound Analysis! Experience the power of audio comparison firsthand. Visit https://lnkd.in/dpaXSUkM to explore the code and contribute to this exciting project. #analysis #pythondevelopment #signalprocessing #techinnovation #recognition #datascience #githubproject #linkedinengagement #dataanalytics #dubaicareers #dubaijobs

✨ It's launch time ✨ vidtoquiz.com - video to quiz in seconds - generate quizzes from any video available on YouTube - any length of video is supported - export quizzes as HTML/PDF Some features that are in development: - export as google form - publish quizzes

Day 9 #100_Days_of_coding_challenge 😍 Today's coding challenge was quite easy, and I completed it swiftly and comfortably. Here is the link of my today's coding you can go and see it, Thanks...💙 https://lnkd.in/d3yV_Cmm Respected Teachers: Zia Khan Okasha Aijaz Asharib Ali Ameen Alam 🔷 🔸 🔷 #typescript #artificialintelligence #genai #webdevelopment #codingchallenge #codingjourney

Day 11 #100_Days_of_coding_challenge 😍 Today we are learning and practising about "Array Handling" in our code And this is a very simple topic if you focus and understand...! Here is the link of my today's coding you can go and see it, Thanks...💙 https://lnkd.in/dZZRg4Vq Respected Teachers: Zia Khan Okasha Aijaz Asharib Ali Ameen Alam 🔷 🔸 🔷 #typescript #artificialintelligence #genai #webdevelopment #codingchallenge #codingjourney

🎬 Tired of manually creating chapter timestamps for your YouTube videos? The YouTube Chapter Highlight Generator (built by Hrishikesh Yadav) is a tool for automatically generating chapter timestamps for YouTube videos. By analyzing the video's content with Twelve Labs APIs, it identifies key segments and creates timestamps that can be used to create chapters for better video navigation and user experience. Here's an overview of the application's components and their interactions: - User Interface: Manages user interactions and displays processed video segments. - Video Processing: Provides core functionality for video segmentation and processing using moviepy. - Utilities: Offers helper functions for tasks such as fetching videos and generating timestamps. - API Integration: Interfaces with Twelve Labs services for indexing. ☑ Read the complete tutorial here: https://lnkd.in/ejTvmkJt ☑ Watch the demo video: https://lnkd.in/eW5fHxqA ☑ Explore the Streamlit app: https://lnkd.in/eJaN7gDG ☑ Play with the Replit template: https://lnkd.in/eMdR4c8f ☑ Find the complete code on GitHub: https://lnkd.in/empqnmXS

Learn how to use Keycloak (KeyCloakDemo) authentication in SvelteKit apps (#svelte, #nextauth) https://lnkd.in/gx_g2PGD #writing #tutorial #learning #webdevelopment

Don't have access to a readability tool but still want to write content that is easy for most people to understand? Try the free online Word Analyzer. It will give you the approximate reading level, syllabus count, and a list of similar words that are easier for people to read. The UI (user interface) isn't pretty, but it does the job. https://lnkd.in/gZ5-V6N9 #contentdesign #language #readabilitytools Thanks for this tip the other day Peter Lechlein

Day 10 #100_Days_of_coding_challenge 😍 Today's coding challenge, "A breeze to conquer, Effortlessly coded, enjoyment beyond measure." Here is the link of my today's coding you can go and see it, Thanks...💙 https://lnkd.in/dnMXXZzm Respected Teachers: Zia Khan Okasha Aijaz Asharib Ali Ameen Alam 🔷 🔸 🔷 #typescript #artificialintelligence #genai #webdevelopment #codingchallenge #codingjourney