Update README.md

README.md

@@ -1,2 +1,44 @@
 # Image-Based-Equation-Solver
 A PyQt5 desktop application that solves the equation contained in an image.
+
+## Environment
+Install and activate the environment using conda
+
+`conda env create -f environment.yaml`
+
+`conda activate tf`
+
+## Data
+
+The symbol recognition model is trained using the Kaggle handwritten symbol dataset https://www.kaggle.com/datasets/xainano/handwrittenmathsymbols.
+
+Add a folder called "Data" in the base directory. Inside this folder add '+', '-', 'times', '=', 'X', 'Y' and 0-9 folders. Make sure that each symbol folder contains exactly 6000 images. You may need to use `expand.py` to augment certain datasets.
+
+Run `solver_data.py` to create the training dataset.
+
+## Training
+
+Run `solver_training.py` to train the model.
+
+## Start
+
+Start the application.
+
+ `python main.py`
+
+ ## Screenshots
+
+![image](https://user-images.githubusercontent.com/120903301/227707803-eeb60dc6-2264-4f8e-8c2a-970e7ef167ac.png)
+
+![image](https://user-images.githubusercontent.com/120903301/227707902-e83c049c-016f-4ed3-a8e6-e2291450a0e6.png)
+
+![image](https://user-images.githubusercontent.com/120903301/227708088-c8d769c4-8d9c-4d42-8779-d7d4d760af93.png)
+
+![image](https://user-images.githubusercontent.com/120903301/227708253-e70ba2a2-9b0b-491d-a25e-a2f3bf2a1dd7.png)
+
+![image](https://user-images.githubusercontent.com/120903301/227708340-9dc04635-438b-455f-a993-448ff656f93c.png)
+
+![image](https://user-images.githubusercontent.com/120903301/227708390-7460b663-4a72-42a9-a47f-3fe75de468ac.png)
+
+### History Database
+![image](https://user-images.githubusercontent.com/120903301/227708468-e104823d-64c0-4907-b85a-5b5799207060.png)