Wake Me
AI-based React component library that detects clapping sounds or finger snaps. Using a TensorFlow.js-based machine learning model, it accurately analyzes sounds in real-time.
Overview
Wake Me is an innovative AI-based browser component library designed to enhance user interaction through sound detection. Leveraging an advanced TensorFlow.js machine learning model, it provides real-time analysis of clapping sounds and finger snaps. This project, developed by the LLAMI Team, opens up a myriad of creative possibilities for games, presentations, accessibility tools, and smart home controls—all through simple auditory cues.
The versatility of Wake Me makes it an appealing choice for developers striving to implement hands-free solutions in various applications. Its compatibility with multiple frameworks, including React, Vanilla JavaScript, Angular, and Vue.js, allows for easy integration into existing projects.
Features
- High-performance AI model: Powered by TensorFlow.js, ensuring efficient sound analysis without lag.
- Real-time sound detection and analysis: Instantly reacts to user inputs such as claps and snaps for immediate feedback.
- High-accuracy clap/snap recognition: Reliability in detecting sounds minimizes false triggers.
- Lightweight and easy to use: Simplifies the development process with straightforward implementation steps.
- Framework-agnostic design: Works seamlessly with various JavaScript frameworks, offering flexibility to developers.
- Usage for diverse applications: Suitable for voice recognition systems, gaming controls, interactive presentations, and more.
- Adjustable sensitivity settings: Allows customization of detection thresholds to suit various environments and use cases.
- React
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- Vite
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- Tailwind
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- Postcss
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- Typescript
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