This project utilizes Teachable Machine to create a powerful AI system capable of recognizing various objects such as calculators, books, phones, keyboards, and much more. The AI is trained to identify these objects in real-time, making it incredibly versatile.
The backend of the system is powered by JavaScript, which processes input data and provides predictions. On the frontend, we use HTML and CSS to build an intuitive and user-friendly interface, allowing seamless interaction and display of the recognized objects.
Whether it's a calculator, a phone, or any other object, this AI aims to bring everyday object recognition into the future!
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The Filter App allows users to add fun, interactive filters like hats, crowns, and more to their photos. This app uses JavaScript and its powerful keypoints function to detect key features in the user's face, allowing filters to be applied in real time.
How it Works:
Backend (JavaScript): The app uses advanced JavaScript techniques to analyze and detect keypoints (such as eyes, nose, and face shape) in the user's photo. Once detected, it places filters like hats, crowns.Frontend (HTML + CSS): The interface is built using HTML for structure and CSS for design, providing a smooth and user-friendly experience. Users can interact with the app through simple, intuitive controls.
This Filter App brings a fun, creative touch to photos by using real-time face detection and easy-to-use!
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The Selfie App takes your selfies to the next level by using voice commands to capture the perfect moment. Simply say "My selfie please," and the app will start a 5-second countdown, giving you time to smile and pose before snapping the photo.
How it Works:
Voice Command (JavaScript): The app listens for the voice command "My selfie please". Once detected, it triggers the camera and starts a 5-second countdown, giving you ample time to get ready for the perfect shot.
Countdown Timer: After the voice command is recognized, you have 5 seconds to smile and get into position before the photo is automatically taken.
Frontend (HTML + CSS): The user interface is designed with HTML to structure the app and CSS to provide a sleek, clean design, making the process fun and simple to use.
This Selfie App combines modern voice recognition with a countdown timer to capture your best selfie with ease!
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The Body Tracking app uses JavaScript keypoints to track key parts of your body, including your neck, eyes, arms, and nose, in real-time. This allows for precise movement tracking and interactive experiences.
How it Works:
Keypoint Detection (JavaScript): The app utilizes JavaScript to detect and track important keypoints on your body such as your neck, eyes, arms, and nose. These keypoints help analyze your posture and movements.
Real-Time Movement Tracking: As you move, the app monitors these key points, updating in real-time. Whether you're moving your arms, turning your head, or blinking, the app can detect and respond accordingly.
Frontend (HTML + CSS): The interface is built with HTML for the structure and CSS for the design. This ensures a seamless user experience while interacting with the body tracking features.
Press "Run AI" Button to expireince.