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CUH-MCA / repository
Sign.AI is a Sign Language Recognition application built on top of MediaPipe and uses Computer Vision to Recognize Hand Signs from a users video capture device. SignAI is accurate and also has the capability to autocorrect words and phrase sentences using GingerIt. Sign.AI also provides Hindi Translation for predictions using Argostranslate.
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• System Processor: Core i3
• Hard Disk: 50GB
• Ram: 8 GB
• Operating system: Windows 10
• Coding Language: Python
• Platform: Jupiter Notebook, Pycharm IDE, VSCode
conda env create -f environment.yml
conda activate project1
python app.py
SignAI
├── functions
│ └── functions.py
├── images
│ ├── logo.png
│ ├── signs.png
│ ├── signstpb.png
│ └── signstpw.png
├── model
│ ├── keypoint_classifier
│ │ ├── keypoint.csv
│ │ ├── keypoint_classifier.hdf5
│ │ ├── keypoint_classifier.py
│ │ ├── keypoint_classifier.tflite
│ │ └── keypoint_classifier_label.csv
│ └── __init__.py
├── SignAI Project Report.pdf
├── app.py
├── environment.yml
├── keypoint_classification.ipynb
├── requirements.txt
├── docs
│ ├── GUI.png
│ ├── logo.png
│ ├── logo2.png
│ ├── signs.png
│ ├── signstpb.png
│ └── signstpw.png
├── LICENSE
└── README.md
If you have any questions, suggestions, or feedback, please feel free to contact me at kartik11721@gmail.com Project Team : Kartik Kumar, Satya Sangram Pattnaik, Deepak, Narendra Tiwari