A simple yet powerful web application that uses machine learning APIs to identify objects in images. Built with HTML, CSS, and JavaScript, this tool allows users to upload an image and receive a real-time visual identification of the contents within it.
- Upload an image and identify objects within it
- Uses external ML API for object detection
- Clean, responsive UI built with HTML, CSS, and vanilla JavaScript
- Interprets image content using computer vision models
## Project Structure
Object-Identifier-/
├── index.html # Main web page
├── styles.css # Styling for the interface
├── objectIdentifier.js # JavaScript logic for interacting with the API
├── assets/ # (Optional) Folder for storing images or icons
├── .env # ⚠️ Hidden file to store sensitive API keys
└── README.md # Project documentation (this file)- Clone the Repository
- Install Dependencies This project uses vanilla JavaScript, so no external libraries are required. However, you must use an API key to connect to the image recognition service.
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Do not expose your API key in public code or commits.
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If you accidentally pushed your key, revoke it immediately from the provider dashboard and generate a new one.
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All third-party APIs used must be credited and used within the limits of their respective terms of use.
the software is provided "as is", without warranty of any kind, express or implied, including but not limited to the warranties of merchantability, fitness for a particular purpose and noninfringement. in no event shall the authors or copyright holders be liable for any claim, damages or other liability, whether in an action of contract or arising from, out of or in connection with the software or the use or other dealings in the software.
Created by Ishan
This file was created using the assistance of OpenAI
Credits: Codedex