The notebook contains the description and implementation of 2 search algorithms:
Contains notebook implementations for the AI based assignments using graph based algorithms that are commonly used in solving AI based problems. Algorithms include BFS, DFS, Hill Climbing, Differential Evolution, Genetic, Back Tracking..
OpenCV and Deep Learning are employed in extracting a sudoku puzzle from images and solving it. The project runs in a Jupyter Notebook Docker container, the Deep Learning model is built, trained and deployed with TensorFlow and the main solver programmed in Python.
A Jupyter Notebook 📓 equipped with code 💻 for identifying the position of digits 🔢 in a Sudoku puzzle 🧩 and solving it ✅. The notebook implements algorithms ⚙️ for Sudoku puzzle solving, offering a practical tool 🛠️ for enthusiasts 🤓 and learners 📚 alike to explore and understand Sudoku solving techniques 🧠. 2-2 METHODS FOR BOTH TASKS 📝.
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