Create README.md

Author: JosephJonathanFernandes

README.md

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+# Image Processing and Vision (IPV) Web App
+
+## 📌 Overview
+This project is an **Image Processing and Vision** application implementing a variety of methods, algorithms, filters, and functions from the syllabus and beyond.  
+It features an **interactive web app** built with **Python Streamlit**, enabling users to upload images, apply processing techniques, and view results instantly.  
+The project serves as both a learning tool and a demonstration platform for image enhancement, transformation, and analysis.
+
+## ✨ Features
+- **Image Enhancement** – Apply filters, adjust brightness/contrast, sharpen, and more.
+- **Image Transformation** – Rotate, resize, crop, and perform geometric transformations.
+- **Filtering Techniques** – Gaussian, median, bilateral, and custom kernel filters.
+- **Edge Detection** – Sobel, Canny, Laplacian, and other operators.
+- **Morphological Operations** – Erosion, dilation, opening, and closing.
+- **Color Space Conversions** – RGB ↔ Grayscale, HSV, LAB, etc.
+- **Custom Algorithms** – Includes advanced techniques beyond the syllabus.
+- **Interactive Interface** – Real-time preview with adjustable parameters.
+
+## 🛠️ Tech Stack
+- **Python** – Core programming language.
+- **Streamlit** – For building the interactive web application.
+- **OpenCV** – Image processing and computer vision operations.
+- **NumPy** – Numerical computations and matrix manipulations.
+- **Pillow** – Image manipulation and format handling.
+  
+## 📚 Learning Outcomes
+
+- Hands-on experience with multiple image processing algorithms.
+- Understanding of computer vision concepts through interactive experimentation.
+- Experience in building and deploying a web application using Streamlit.
+
+## 📜 License
+- This project is licensed under the MIT License.
+
+