Image Prediction using Tenser Flow

Images of the App 📝

References

• Chat GPT
• V0(by vercel)
• YouTube
• Shadcn documentation
• TenserFlow documentation

Overview

This project is an Ai/Ml - web based project where one can upload and image and will get the data on that image.

Check the video for the brief of the project without running here -> Link ⭐

Table of Contents

• Features
• Technologies Used
• Installation
• Usage
• How to Run

Features

• Upload: Users can uplod their image.
• View: User can see their uploaded image and check the data that the model displays.
• Responsive Design: Optimized for various screen sizes, providing a seamless experience on both mobile and desktop devices.

Technologies Used

• Frontend: React+TypeScript+vite
• Api: Tenser Flow Api
• Styling: Shadcn Ui and custom Tailwind CSS for responsive design
• Version Control: Git & GitHub

Installation

Prerequisites

Ensure you have the following installed on your machine:

• Node.js (v14 or later)
• npm (Node Package Manager)

Step 1: Clone the Repository

git clone https://github.com/Neel-max-cpu/ImagePrediction.git

Step 2: Navigate to the Project Directory

Change into the project directory:

cd [the folder name]

Step 3: Install Dependencies

Run the following command to install the necessary dependencies for the frontend:

npm install

Usage

After setting up, you can start the application.

How to Run

Step 1: Start the Frontend

In a new terminal window, navigate to the root directory and start the React application:

npm run dev

Step 3: Access the Application

Open your web browser and go to http://localhost:5173/ to access the App.

React + TypeScript + Vite

This template provides a minimal setup to get React working in Vite with HMR and some ESLint rules.

Currently, two official plugins are available:

• @vitejs/plugin-react uses Babel for Fast Refresh
• @vitejs/plugin-react-swc uses SWC for Fast Refresh

Expanding the ESLint configuration

If you are developing a production application, we recommend updating the configuration to enable type aware lint rules:

• Configure the top-level parserOptions property like this:

export default tseslint.config({
  languageOptions: {
    // other options...
    parserOptions: {
      project: ['./tsconfig.node.json', './tsconfig.app.json'],
      tsconfigRootDir: import.meta.dirname,
    },
  },
})

• Replace tseslint.configs.recommended to tseslint.configs.recommendedTypeChecked or tseslint.configs.strictTypeChecked
• Optionally add ...tseslint.configs.stylisticTypeChecked
• Install eslint-plugin-react and update the config:

// eslint.config.js
import react from 'eslint-plugin-react'

export default tseslint.config({
  // Set the react version
  settings: { react: { version: '18.3' } },
  plugins: {
    // Add the react plugin
    react,
  },
  rules: {
    // other rules...
    // Enable its recommended rules
    ...react.configs.recommended.rules,
    ...react.configs['jsx-runtime'].rules,
  },
})