From ae35f0578b029e1fbd24e1052611ac3a0d5bbc94 Mon Sep 17 00:00:00 2001
From: Raja Abilash <105819476+rjroman@users.noreply.github.com>
Date: Fri, 8 Mar 2024 19:51:58 +0530
Subject: [PATCH] Delete README.md

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-Image Classifier Web Application using Flask
-This GitHub repository hosts the code for an image classifier web application developed using Flask, a lightweight Python web framework, and PyTorch, a powerful deep learning library. The application leverages a pre-trained ResNet18 model for efficient and accurate image classification tasks.
-
-Key Features:
-
-User-friendly Interface: Experience seamless image uploads and receive real-time predictions via the intuitive web interface.
-State-of-the-Art Model: Benefit from the advanced capabilities of a ResNet18 model, meticulously trained on extensive datasets, ensuring top-tier image classification accuracy.
-Efficient Deployment: Easily deploy the application on local machines or cloud platforms for swift testing and deployment, ensuring hassle-free integration into your workflow.
-How to Use:
-
-Clone the Repository: Begin by cloning the repository to your local machine.
-Install Dependencies: Utilize pip install -r requirements.txt to effortlessly install the necessary dependencies.
-Run the Flask Application: Execute python app.py to launch the Flask application.
-Access the Web Interface: Navigate to your preferred web browser and access the web interface to upload an image for classification.
-Dependencies:
-
-Flask
-PyTorch
-torchvision
-NumPy
-Pillow
-Contributing:
-
-Contributions are highly encouraged and welcomed! Whether it's bug reports, feature requests, or pull requests, your input is invaluable in enhancing this project.
-
-Dataset Link:
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-Access the dataset here.
-
-License:
-
-This project is licensed under the MIT License. Refer to the LICENSE file for more details.