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README.md

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-license: mit
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+---
+license: mit
+---
+# Image Similarity Comparison Web Application
+
+This project is a web-based application that allows users to upload images and compare them to find the most visually similar ones based on a user-defined similarity threshold. The application utilizes a pre-trained VGG16 model to extract features from images and measures similarity using cosine similarity.
+
+
+
+## Features
+
+-  Upload an input image and a set of comparison images.
+- Define a similarity threshold to control the sensitivity of the comparison.
+- Automatically identify and display the most similar images.
+- Option to retry with different images or threshold settings.
+- User-friendly interface with an impressive, creative design.
+## Technologies Used
+
+- **Backend:** Python, Flask, TensorFlow, VGG16, scikit-learn
+- **Frontend:** HTML, CSS, Bootstrap
+- **Image Processing:** PIL, NumPy
+## Usage
+
+- **Upload Images:** On the homepage, upload your primary image and a set of comparison images.
+- **Set Similarity Threshold:** Input the similarity threshold value at the start.
+- **View Results:** The application will process the images and display the ones that are most similar to the primary image.
+- **Try Again:** After viewing the results, you have the option to try with different images.
+
+## Practical Applications
+
+- **E-commerce:** Helps in recommending visually similar products to users.
+- **Digital Asset Management:** Assists in organizing and finding similar visual content from a large collection.
+- **Creative Industry:** Useful for artists and designers to find similar visual references.