Handwritten Digits & Operators Recognition using CNN

Project: Handwritten Digits & Operators Recognition using CNN

Description:
This project uses Deep Learning (CNN) to recognize handwritten numbers (0-9) and mathematical symbols (like +, -, *, /). Built with Python, Keras, and TensorFlow, it accurately classifies 16 different types of handwritten inputs.
Key Features:
Trained on 200,000+ images from Kaggle.
Built using Convolutional Neural Networks (CNN).
Real-time testing via a Streamlit web app.

Project Links:
Live Demo: https://handwrittendigitsandoperators-gvdahk3ls3srb5txjnkdzb.streamlit.app/

GitHub Link: https://github.com/Jitanjali19/HandwrittenDigitsAndOperators

👩‍💻 Team Members:
Jitanjali Patel
Dimple Chouhan
Arun Kushwah

👨‍🏫 Mentors:
Dr. K. K. Sharma
Dr. Lalit Purohit
Dr. Upendra Singh
Mr. Akshay Gupta

#DeepLearning #Python #CNN #MachineLearning #AI

Видео Handwritten Digits & Operators Recognition using CNN канала Dimple Chouhan