Image Classification Webapp

Table of Contents

1. About The Project
   • Built With
2. Getting Started
   • Prerequisites
   • Installation
3. Usage
4. Roadmap
5. Contact

About The Project

The Image Classification Webapp is an AI-powered project that uses deep learning to classify an image. Developed using the CIFAR10 dataset and Flask, the project provides a user-friendly interface for users to upload an image and get the output as text, indicating the category of the image.

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Built With

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Getting Started

This is an example of how you may give instructions on setting up your project locally. To get a local copy up and running follow these simple example steps.

Prerequisites

This is an example of how to list things you need to use the software and how to install them.

• npm

  npm install npm@latest -g

Installation

1. Get a free API Key at https://example.com
2. Clone the repo

   git clone https://github.com/github_username/repo_name.git

3. Install NPM packages

   npm install

4. Enter your API in config.js

   const API_KEY = 'ENTER YOUR API';

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Usage

Use this space to show useful examples of how a project can be used. Additional screenshots, code examples and demos work well in this space. You may also link to more resources.

For more examples, please refer to the Documentation

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Roadmap

• Feature 1
• Feature 2
• Feature 3
  • Nested Feature

See the open issues for a full list of proposed features (and known issues).

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Contact

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