https://github.com/shreyavats23/sign_language_recognition
Sign Language Recognition using Deep Learning : ~ Built a model to recognize American Sign Language (ASL) for letters A–Z and digits 1–9 ~ Achieved ~89% validation accuracy using a Convolutional Neural Network (CNN) ~ Used data augmentation techniques to improve generalization ~ Visualized predictions to test the model on real samples
https://github.com/shreyavats23/sign_language_recognition
artificial-intelligence keras machine-learning matplotlib numpy python pytorch seaborn sklearn tensorflow
Last synced: 3 months ago
JSON representation
Sign Language Recognition using Deep Learning : ~ Built a model to recognize American Sign Language (ASL) for letters A–Z and digits 1–9 ~ Achieved ~89% validation accuracy using a Convolutional Neural Network (CNN) ~ Used data augmentation techniques to improve generalization ~ Visualized predictions to test the model on real samples
- Host: GitHub
- URL: https://github.com/shreyavats23/sign_language_recognition
- Owner: ShreyaVats23
- Created: 2025-08-29T06:47:26.000Z (10 months ago)
- Default Branch: main
- Last Pushed: 2025-08-29T07:09:32.000Z (10 months ago)
- Last Synced: 2025-09-07T03:11:42.037Z (10 months ago)
- Topics: artificial-intelligence, keras, machine-learning, matplotlib, numpy, python, pytorch, seaborn, sklearn, tensorflow
- Language: Python
- Homepage:
- Size: 13.7 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Sign_Language_Recognition
Sign Language Recognition using Deep Learning : ~ Built a model to recognize American Sign Language (ASL) for letters A–Z and digits 1–9 ~ Achieved ~89% validation accuracy using a Convolutional Neural Network (CNN) ~ Used data augmentation techniques to improve generalization ~ Visualized predictions to test the model on real samples
https://github.com/user-attachments/assets/afba4ab7-ea84-4242-936f-d1366649fbc7