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+# Sudoku Solver
+Hello World of Computer Vision and Machine Learning   
+
+<!-- TABLE OF CONTENTS -->
+## Table of Contents
+
+* [About the Project](#about-the-project)
+  * [Tech Stack](#tech-stack)
+  * [File Structure](#file-structure)
+* [Getting Started](#getting-started)
+  * [Prerequisites](#prerequisites)
+  * [Installation](#installation)
+* [Usage](#usage)
+* [Results](#results)
+* [To Do](#to-do)
+* [Troubleshooting](#troubleshooting)
+* [Contributors](#contributors)
+* [Resources](#resources)
+* [License](#license)
+
+
+<!-- ABOUT THE PROJECT -->
+## About The Project 
+
+Solve sudoku puzzle using computer vision and machine learning. Currently(v1.0) solves sudoku from image and overlays missing digits on it.  
+**Steps followed in this process:**
+1. Preprocess image (resize, grayscale, blur, threshold, dilation/opening)
+2. Draw external contours. 
+> Current method assumes that the sudoku has largest contour in given image  
+3. Infer corners of largest contour(sudoku puzzle)  
+4. Perspective transformation based on corners  
+5. Infer grid from transformed image. 
+> Current method just divides the transformed image into number of cells in sudoku puzzle i.e 81
+6. Extract digits from cell by finding largest connected pixel structure in mid part of cell. 
+Scale and centre each digit, so that it becomes apt for prediction using neural network  
+
+### Tech Stack
+This section should list the technologies you used for this project. Leave any add-ons/plugins for the prerequisite section. Here are a few examples.
+* [OpenCV](https://opencv.org/)
+* [Tensorflow-Keras](https://www.tensorflow.org/guide/keras/sequential_model)  
+* [Backtracking](https://www.geeksforgeeks.org/backtracking-algorithms/)
+
+### File Structure
+    .
+    ├── run.py                  # Driver code
+    ├── utils                   # helper classes
+    │   ├── img_processing.py   # helper functions for image processing
+    │   ├── classify_digit.py   # helper functions for digit classification
+    │   └── solve_sudoku.py     # helper functions to solve partially filled sudoku
+    ├── test_imgs               # images for testing
+    ├── digit_classifier        # codes to train digit classifier
+    ├── LICENSE
+    └── README.md 
+    
+<!-- GETTING STARTED -->
+## Getting Started
+
+### Prerequisites (Code tested on)
+
+* Tensorflow v2.2.0
+* OpenCV v4.1.0
+* numpy v1.18.5
+* scipy v1.4.1
+* tabulate v0.8.7
+
+### Installation
+1. Clone the repo
+```sh
+git clone https://github.com/saharshleo/sudokuSolver.git
+```
+
+
+<!-- USAGE EXAMPLES -->
+## Usage
+```
+cd /path/to/sudokuSolver
+```
+
+```
+python run.py
+```
+> For viewing the journey of image
+```
+python run.py --show
+```
+
+
+<!-- RESULTS -->
+## Results
+ 
+[**result screenshots**](https://result.png)  
+![**result gif or video**](https://result.gif)  
+
+
+<!-- TO DO -->
+## To Do
+- [x] Task 1
+- [x] Task 2
+- [ ] Task 3
+- [ ] Task 4
+
+
+<!-- TROUBLESHOOTING -->
+## Troubleshooting
+* Common errors while configuring the project
+
+
+<!-- CONTRIBUTORS -->
+## Contributors
+* [Saharsh Jain](https://github.com/saharshleo)
+
+
+<!-- RESOURCES -->
+## Resources  
+* Refered [this](https://link) for achieving this  
+
+
+<!-- LICENSE -->
+## License
+Describe your [License](LICENSE) for your project. 
+