Yeshwanth V

Digit Recognizer using Python project focuses on identifying handwritten digits using machine learning and deep learning techniques. This project involves: 📌 Dataset: Uses the MNIST dataset, which contains handwritten digits (0-9). 📌 Model: Implemented using Convolutional Neural Networks (CNNs) for high accuracy. 📌 User Interaction: Allows users to draw digits on a canvas, which the model then predicts. 📌 Continuous Learning: If misclassified, the user can correct the digit, and the new data is added to improve the model using the Kaggle API. 📌 Technologies Used: Python, TensorFlow/Keras, OpenCV, and Tkinter/Flask for UI. This project enhances digit classification accuracy by integrating real-time user feedback, making it a self-improving AI system! 🚀

The Hotel Billing System using C++ is a project that automates the billing process in a hotel. It allows customers to order food items from a menu, calculates the total bill, applies taxes (if applicable), and generates a receipt. The system typically includes functionalities such as: Menu Display: Shows available food items with their prices. Order Processing: Allows customers to select items and specify quantities. Billing Calculation: Computes the total cost, including additional charges like service tax or GST.